full resolution correspondence learning for image translation

Today I'd like to talk about the basic concepts of setting up a network to train on an image-to-image regression problem. ForkGAN: Seeing into the Rainy Night. For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Siyuan Li, Semih Gnel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin. Weihao Xia, Yujiu Yang, Jing-Hao Xue. We present the full-resolution correspondence learning for cross-domain CVPR 2021 Workshop. (An extended version of SelectionGAN published in CVPR2019) [PDF] [Githtub], CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation. yaxing wang, Lu Yu, Joost van de Weijer. Unbalanced Feature Transport for Exemplar-based Image Translation. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. [PDF] [Github] FlexIT: Towards Flexible Semantic Image Translation. AAAI 2019. STEFANN: Scene Text Editor using Font Adaptive Neural Network. I2SB: Image-to-Image Schrdinger Bridge. Move the models below the folder checkpoints/deepfashionHD. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. We use OpenPose to estimate pose of DeepFashion(HD). Unsupervised Image-to-Image Translation with Density Changing Regularization. [PDF] Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen. CVPR 2021, oral presentation Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka. [PDF] When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Ying-Cong Chen, Jiaya Jia. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Github] Yaniv Taigman, Adam Polyak, Lior Wolf. [PDF], TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. Lin Wang, Yujeong Chae, Kuk-Jin Yoon. [PDF] [GitHub] TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. [PDF], SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder. Within each PatchMatch iteration, the ConvGRU module is employed to refine the current correspondence considering not only the matchings of larger context but also the historic estimates. [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. [pdf] [Supplement] python train. [PDF] arxiv 2019. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. You can find the script in data/preprocess.py. First, we propose a versatile image translation and manipulation framework which introduces a ranking and attention Scheme for bi-level feature alignment that greatly reduces the memory cost while building the correspondence between conditional inputs and exemplars. In particular, configuration files for the Metfaces dataset would be appreciated, otherwise comparisons cannot be made. [PDF] Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. Posted on . Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation. File "/home/kas/CoCosNet-v2/data/init.py", line 33, in create_dataloader arxiv 2021. ASAPNet: Spatially-Adaptive Pixelwise Networks for Fast Image Translation. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. [PDF] Tycho F.A. Blind Image Decomposition is a novel task. [PDF] [Github] [PDF] [Github], A Domain Gap Aware Generative AdversarialNetwork for Multi-domain Image Translation. Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander. George Cazenavette, Manuel Ladron De Guevara. arxiv 2021. [PDF] A collection of awesome resources image-to-image translation. Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma. [PDF] [Github] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia. Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikoaj Bikowski, Aaron Courville, Yoshua Bengio, R Devon Hjelm. Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri. Few-shot Image Generation via Cross-domain Correspondence. info@gurukoolhub.com +1-408-834-0167 Reddit and its partners use cookies and similar technologies to provide you with a better experience. [PDF] arxiv 2020. International Conference on Multimedia Modeling (MMM2020). Eitan Richardson, Yair Weiss. file in archive is not in a subdirectory archive/: latest_net_D.pth, Traceback (most recent call last): Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. [Github] [PDF], DTN: Unsupervised Cross-Domain Image Generation. arxiv 2020. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. CoCosNet: Cross-domain Correspondence Learning for Exemplar-based Image Translation. EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. Stefano Ermon. [PDF] [Official Tensorflow] [Pytorch] [photo2cartoon] [Morph UGATIT]. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. You need to install conda first, and then run conda env create --file asset/dualrcnet.yml To activate the environment, run conda activate dualrcnet Preparing data [PDF] Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia. [PDF] [Project] [Github] Unzip the file and rename it as img. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. CVPR 2018. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman. IJCAI 2019. GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe. [PDF], DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. [PDF], Online Exemplar Fine-Tuning for Image-to-Image Translation. [ paper ] [ code ] [ bibtex] Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen. [PDF] [Github], Asymmetric GAN for Unpaired Image-to-Image Translation. Image-to-image translation. Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna. Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim. Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen. when I run the test, I got the keyerror results. Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. [PDF], Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. hierarchy, the correspondence can be efficiently computed via PatchMatch that arxiv 2020. [PDF] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen. @InProceedings{Zhou_2021_CVPR, [PDF] Paper | Slides Abstract [PDF] CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CVPR 2021, oral presentation Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. [PDF] [Github] [PDF] [Github]. LGGAN: Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. Image and Vision Computing 2020. [Github] [PDF]. [PDF] [PDF] [Github], StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. xxx_ref.txt and xxx_ref_test.txt in other dataset. instance.initialize(opt) Have in mind that things like what and when you publish will change the results you get. The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. [PDF] TMM 2021. Multi-Curve Translator for High-Resolution Photorealistic Image Translation. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. [PDF] [GitHub] [PDF] LEED: Label-Free Expression Editing via Disentanglement. [PDF] CVPR 2022 Workshop on AI for Content Creation (AICC 2022). Since the original resolution of DeepfashionHD is 750x1101, we use a Python script to process the images to the resolution 512x512. [PDF] [Project] [Github] If you use this code for your research, please cite our papers. Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. [PDF][Project] [Github] DeepMosaics: Automatically remove the mosaics in images and videos, or add mosaics to them, A simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image, Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image, Towards Flexible Blind JPEG Artifacts Removal in python. When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. Detection. When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. arxiv 2022. [PDF] Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation (CVPR 2021, oral presentation) CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CVPR 2021, oral presentation Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. Download the train-val lists from this link, and the retrival pair lists from this link. (oral) CoMoGAN: Continuous Model-guided Image-to-image Translation. arxiv 2022. Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim. Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen. arxiv 2020. Copyright and all rights therein are retained by authors or by other copyright holders. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. [PDF], Implicit Pairs for Boosting Unpaired Image-to-Image Translation. arxiv 2022. Activating mini sunpass. Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari. [PDF] arxiv 2022. Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo. [PDF] [Project] [Github], Towards Automatic Face-to-Face Translation. [PDF] [PDF] June 8, 2022 full resolution correspondence learning for image translation. arxiv 2020. [PDF], Semantic Map Injected GAN Training for Image-to-Image Translation. self.ref_dict, self.train_test_folder = self.get_ref(opt) Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. Hao Tang, Song Bai, Nicu Sebe. [PDF] [Github] [PDF] [Project] [Github] [TensorFlow], pix2pix: Image-to-Image Translation with Conditional Adversarial Networks. [PDF] [Github], GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation. why is there a plague in thebes oedipus. DSI2I: Dense Style for Unpaired Image-to-Image Translation. Cross-Granularity Learning for Multi-Domain Image-to-Image Translation. 1st row: exemplar images, 2nd row: generated images. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao. Translation, CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF][Project][Github] TOG 2020. Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv. Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. Guided Image-to-Image Translation With Bi-Directional Feature Transformation. [PDF] [Project] [Video], BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. [PDF] [Github] Feedback and contributions are welcome! Everybody Dance Now. Virtual reality (VR) is a simulated experience that employs pose tracking and 3D near-eye displays to give the user an immersive feel of a virtual world. hey when i train the model from random weights during the training i can see some results ( every N epochs) when i run test.py with the new trained models the predictions is white background no image at all, hithans for your work,but when I torch.load() CollaGAN : Collaborative GAN for Missing Image Data Imputation. TPAMI 2021. [PDF] [Project] [Github] At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . Harnessing the Conditioning Sensorium for Improved Image Translation. [PDF] [Project] [Github] Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai. Andrs Romero, Pablo Arbelez, Luc Van Gool, Radu Timofte. What's the problem? Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen. Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian. Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor Lempitsky. [PDF] [GitHub] [PDF] [Github], iFlowGAN: An Invertible Flow-based Generative Adversarial Network For Unsupervised Image-to-Image Translation. Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato. [PDF], Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. [PDF] Computer Vision and Pattern Recognition (CVPR oral), 2021. RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. [Project] [Github] [pytorch-CycleGAN-and-pix2pix] [PDF], BicycleGAN: Toward Multimodal Image-to-Image Translation. The Spatially-Correlative Loss for Various Image Translation Tasks. Kai Ye, Yinru Ye, Minqiang Yang, Bin Hu. [PDF], Pretraining is All You Need for Image-to-Image Translation. arxiv 2020. [PDF], Image-to-Image Translation with Text Guidance. TOG 2019. Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. World-Consistent Video-to-Video Synthesis. Run the following command for training from scratch. [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. Zekang Chen, Jia Wei, Rui Li. Unsupervised one-to-many image translation. When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. Xuning Shao, Weidong Zhang. Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani. [PDF], Image-to-Image Translation with Multi-Path Consistency Regularization. The code is developed based on the PyTorch framework, RGB2NIR_Experimental This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. [PDF][Github] BMVC 2017. Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. Move the models below the folder checkpoints/deepfashionHD. Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman. (2021) Dagstuhl. Wenshuang Liu, Wenting Chen, Linlin Shen. Unzip the file and rename it as img. [PDF] [GitHub], injectionGAN: Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation. ICIP 2017. arxiv 2019. Generating Diverse Translation by Manipulating Multi-Head Attention. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Authors: Xingran Zhou Bo Zhang Microsoft Ting Zhang Pan Zhang University of Science and Technology of China Content. translation, full-resolution semantic correspondence can be established in an Homomorphic Interpolation Network for Unpaired Image-to-image Translation. Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang. Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim. StarGAN v2: Diverse Image Synthesis for Multiple Domains. When jointly trained with image Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. ICLR 2023. [PDF] ManiFest: Manifold Deformation for Few-shot Image Translation. We also thank SPADE and RAFT. Image-to-Image Translation Tasks, IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Nenghai Yu. Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. When I delete latest_net_D.pth and latest_net_G.pth from thelatest_net_Corr.pth, I run the code. m Calcified plaque in the aorta and pelvic arteries is associated with cor Cross-domain Correspondence Learning for Exemplar-based Image HiDT: High-Resolution Daytime Translation Without Domain Labels. (Deepfashion dataset) - "Full-Resolution Correspondence Learning for Image Translation" CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation, This is a recurring payment that will happen monthly, If you exceed more than 500 images, they will be charged at a rate of $5 per 500 images. [PDF] full resolution correspondence learning for image translation. Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba. [PDF] Yiming Gao, Jiangqin Wu. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Torr, Nicu Sebastie. ./dataset/deepfashionHD/pose\MEN\Denim\id_00000089\02_7_additional_candidate.txt not found. Aamir Mustafa, Rafal K. Mantiuk. [pdf] [Supplement] [PDF] Or fastest delivery Wed, Nov 2. [PDF] [Project] [Github] Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. arxiv 2021. Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. [PDF] [Github], Separating Content and Style for Unsupervised Image-to-Image Translation. [PDF] [Github], RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation. Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo. ICIP 2020. Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu. RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. [PDF], DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. by If you use this code for your research, please cite our papers. [pdf] [Github] [Supplement] Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. [PDF] [PDF] [Project] [Github] Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. arxiv 2021. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels with the proposed GRU-assisted PatchMatch. You can find the script in data/preprocess.py. [PDF] [Project] [Github] [PDF] [Github], Unsupervised Generative Adversarial Networks With Cross-Model Weight Transfer Mechanism for Image-to-Image Translation. ACM MM 2019. Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee. solidarity - - . [PDF], Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Jiaming Zhang, Jionglong Su. full resolution correspondence learning for image translation. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. [PDF] [Project], Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi. arxiv 2020. Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. TIP 2021. what is edgar xbrl validation errors and warnings. Transactions on Visualizations and Computer Graphics. For examp [PDF], A Novel Framework for Image-to-image Translation and Image Compression. Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, Jose M. lvarez. The proposed GRU-assisted PatchMatch is fully differentiable and highly efficient. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages . [PDF], AttGAN: Facial Attribute Editing by Only Changing What You Want. file in archive is not in a subdirectory archive/: latest_net_D.pth, net['netCorr'] = util.load_network(net['netCorr'], 'Corr', opt.which_epoch, opt). [PDF], Attention-Based Spatial Guidance for Image-to-Image Translation. CVPR 2017. Attentive Normalization for Conditional Image Generation. [PDF] [PDF] [Github] [PDF], OT-CycleGAN: Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. [PDF] [Demo] [Github] Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi. [PDF], Gated SwitchGAN for multi-domain facial image translation. Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. Yaxing Wang, Hector Laria, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu. Niccol di Bernardo dei Machiavelli (/ m k i v l i / MAK-ee--VEL-ee, US also / m k-/ MAHK-, Italian: [nikkol mmakjavlli]; 3 May 1469 - 21 June 1527), was an Italian diplomat, author, philosopher and historian who lived during the Renaissance.He is best known for his political treatise The Prince (Il Principe), written around 1513 but not published until 1532. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang. [PDF][Github] pages = {11465-11475} [PDF] [Project], The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models. SIGGRAPH 2022. Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros. [PDF] [Project] [Github] [Data] Hao Tang, Dan Xu, Nicu Sebe, Yan Yan. [PDF] [Project] Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yuksel, Pinar Yanardag. AAAI 2019. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. In this paper, we propose a multi-feature contrastive learning method. ACM MM 2021. Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz. Hao Tang, Dan Xu, Hong Liu, Nicu Sebe. arxiv 2020. Download the pretrained VGG model from this link, move it to vgg/ folder. BMVC 2021 (Oral). Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha. [PDF] [Project] [Github] [PDF], Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. IJCNN 2019. Can you provide configuration files for the other datasets mentioned in the paper? Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai. Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool. [PDF] [GIthub], Cross-Domain Cascaded Deep Feature Translation. [PDF] [Github], GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. arxiv 2021. [PDF][Github] Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. arxiv 2021. Gwanghyun Kim, Taesung Kwon, Jong Chul Ye. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Joonyoung Song, Jong Chul Ye. Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee. Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. Neural Wireframe Renderer: Learning Wireframe to Image Translations. (we used Pytorch 1.7.0 in our experiments). We use 8 32GB Tesla V100 GPUs to train the network. Multi-mapping Image-to-Image Translation via Learning Disentanglement. Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li. Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda. Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. arxiv 2020. TPAMI 2020. Teachers Do More Than Teach: Compressing Image-to-Image Models. Multimodal Structure-Consistent Image-to-Image Translation. Luigi Musto, Andrea Zinelli. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. [PDF], Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution . View TikTik videos for #anime Overal Posts 2.