full resolution correspondence learning for image translation

[PDF] [PDF] [PDF] [PDF], EDIT: Exemplar-Domain Aware Image-to-Image Translation. arxiv 2023. [Github] [PDF], CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. When jointly trained with image booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. Pre-requisite conda cr, The Official PyTorch Implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision, DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision The PyTorch implementation of DiscoBox: Weakly Supe, Open source projects and samples from Microsoft, KeyError: 'dataset/deepfashionHD\\img\\MEN\\Denim\\id_00000089\\02_7_additional.jpg', Pretrained model "latest_net_netCorr.pth" corrupted. IJCAI 2019. Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim. World-Consistent Video-to-Video Synthesis. [PDF] [Project] [Github], Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. arxiv 2021. [PDF] XingGAN for Person Image Generation. [PDF] ICCV 2017. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Min Woo Kim, Nam Ik Cho. We offer the keypoints detection results used in our experiment in this link. Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. author = {Zhou, Xingran and Zhang, Bo and Zhang, Ting and Zhang, Pan and Bao, Jianmin and Chen, Dong and Zhang, Zhongfei and Wen, Fang}, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Rongliang Wu, Shijian Lu. [PDF] [PDF] PISE: Person Image Synthesis and Editing with Decoupled GAN. [PDF] Paper | Slides Abstract [PDF] [PDF], Learning to Caricature via Semantic Shape Transform. EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. FlexIT: Towards Flexible Semantic Image Translation. Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon. Shaoan Xie, Qirong Ho, Kun Zhang. [PDF] [Github], Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. CollaGAN : Collaborative GAN for Missing Image Data Imputation. Semantic Image Manipulation Using Scene Graphs. ACM MM 2019. Hanbit Lee, Jinseok Seol, Sang-goo Lee. Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li. markdown format: [PDF] [Github], BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. All persons copying this information are expected to adhere to the terms and constraints invoked [PDF] [Github], MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. Modulated Contrast for Versatile Image Synthesis. Domain Adaptive Image-to-image Translation. Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy. Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation. Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ), We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, Pytorch implementation of the DeepDream computer vision algorithm. TIP 2021. Shih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh. Run the following command for training from scratch. arxiv 2020. Yaxing Wang, Hector Laria, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu. Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee. Run the following command for training from scratch. CVPR 2021 Workshop on NTIRE. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. ICPR 2020. Xinrui Wang and Jinze Yu. [PDF] 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() Everybody Dance Now. arxiv 2021. 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. arxiv 2020. Aviv Gabbay, Yedid Hoshen. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. AAAI 2019. [PDF] Unsupervised Sketch-to-Photo Synthesis. Yiming Gao, Jiangqin Wu. Image Translation, MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. [PDF], Image-to-Image Translation with Multi-Path Consistency Regularization. [Github] [PDF], DualGAN: Unsupervised Dual Learning for Image-to-Image Translation. Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. For examp 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. 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. What's the problem? Make sure you have prepared the DeepfashionHD dataset as the instruction. ICML 2019. Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Yang Zhao, Changyou Chen. We also thank SPADE and RAFT. Ying-Cong Chen, Jiaya Jia. Our method is a one-sided mapping method for unpaired image-to-image translation, considering enhancing the performance of the generator and discriminator. Guided Variational Autoencoder for Disentanglement Learning. [PDF] Tycho F.A. 0. Textured Neural Avatars. [enforce fail at ..\caffe2\serialize\inline_container.cc:211] . [PDF] CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. arxiv 2019. ICCV 2017. Konstantinos Vougioukas, Stavros Petridis, Maja Pantic. espe We present a novel method for exemplar-based image translation, called [PDF], A Novel Framework for Image-to-image Translation and Image Compression. [PDF] [PDF] [Github]. In this paper, we propose a multi-feature contrastive learning method. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. Content provided by Bo Zhang, the co-author of the paper Cross-domain Correspondence Learning for Exemplar-based Image Translation. Unpaired Image Translation via Vector Symbolic Architectures. [PDF] Yuda Song, Hui Qian, Xin Du. UNIST: Unpaired Neural Implicit Shape Translation Network. Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun. IJCNN 2020. [PDF][Project] [Unofficial] [PDF] A Style-aware Discriminator for Controllable Image Translation. Download the pretrained VGG model from this link, move it to vgg/ folder. [PDF] Julia Wolleb, Robin Sandkhler, Florentin Bieder, Philippe C. Cattin. [PDF][Github][Project] arxiv 2020. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Project] [Github] (An extended version of SelectionGAN published in CVPR2019) [PDF] [Githtub], CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation. [Github] [PDF], DTN: Unsupervised Cross-Domain Image Generation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia. Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang. [PDF] [PDF] [Project] [Github] [PDF], Future Urban Scenes Generation Through Vehicles Synthesis. Unsupervised one-to-many image translation. ACM MM 2021. Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma. Multimodal Structure-Consistent Image-to-Image Translation. [PDF] Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Nenghai Yu. Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. ACCV 2020. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. [PDF][Github] Shani Gamrian, Yoav Goldberg. Kevin Frans, Chin-Yi Cheng. Kuniaki Saito, Kate Saenko, Ming-Yu Liu. Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. File "train.py", line 21, in Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim. Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. Yuval Alaluf, Or Patashnik, Daniel Cohen-Or. [PDF] [Github] [Project] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Harnessing the Conditioning Sensorium for Improved Image Translation. Clova AI Research, NAVER Corp. GAN Compression: Efficient Architectures for Interactive Conditional GANs. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Aamir Mustafa, Rafal K. Mantiuk. [PDF], Unpaired Image-to-Image Translation via Latent Energy Transport. 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. Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara. IJCV 2022. Translation, Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe. Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba. ICPR 2021. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. Model-based Occlusion Disentanglement for Image-to-image Translation. We use OpenPose to estimate pose of DeepFashion(HD). Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri. Yaxing Wang, Joost van de weijer, Lu Yu, Shangling Jui. arxiv 2022. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. ICCV Workshop 2021. [PDF] [Github], Single Image Texture Translation for Data Augmentation. In each level, the correspondence can be efficiently computed via differentiable PatchMatch, followed by ConvGRU for recurrent refinement. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. arixv 2020. Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li. SIGGRAPH 2022. [PDF] [Project] Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura. arxiv 2020. [pdf] [Supplement] PatchMatch iteration, the ConvGRU module is employed to refine the current [PDF] [Project] [Github] [Data] Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, and Dacheng Tao. Blind Image Decomposition is a novel task. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Download the train-val lists from this link, and the retrival pair lists from this link. [PDF], Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. [PDF] [Github] Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci. Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe. arxiv 2022. contact dblp; Xingran Zhou et al. Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang. Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo. arxiv 2021. Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun. Rongliang Wu, Shijian Lu. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. [PDF] Make sure you have prepared the DeepfashionHD dataset as the instruction. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. arxiv 2020. images, which aids image translation. InGAN: Capturing and Retargeting the "DNA" of a Natural Image. [PDF], Stylizing Video by Example. [PDF], GANILLA: Generative Adversarial Networks for Image to Illustration Translation. [PDF] The test results are as follows. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. ! Note the file name is img_highres.zip. Yong Wang, Longyue Wang, Shuming Shi, Victor Li, Zhaopeng Tu. Translation, CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based [PDF] [Project] [Github] NeurIPS 2016 Workshop on Adversarial Training. [PDF] [Github] From Design Draft to Real Attire: Unaligned Fashion Image Translation. This material is presented to ensure timely dissemination of scholarly and technical work. Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving. [PDF][Project] [Github] yaxing wang, Lu Yu, Joost van de Weijer. Wenshuang Liu, Wenting Chen, Linlin Shen. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. arxiv 2020. astros vs yankees cheating. Hao Tang, Song Bai, Nicu Sebe. TPAMI 2021. Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. [PDF] [Github] Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang. Towards Visual Feature Translation. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. First download the Deepfashion dataset (high resolution version) from this link. Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. arxiv 2020. [PDF] [Project] Harmonic Unpaired Image-to-image Translation. (Deepfashion dataset) - "Full-Resolution Correspondence Learning for Image Translation" self.ref_dict, self.train_test_folder = self.get_ref(opt) [PDF] [Github], LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. Or fastest delivery Wed, Nov 2. Download and unzip the results file. Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. python test.py --name deepfashionHD --dataset_mode deepfashionHD --dataroot dataset/deepfashionHD --PONO --PONO_C --no_flip --batchSize 8 --gpu_ids 0 --netCorr NoVGGHPM --nThreads 16 --nef 32 --amp --display_winsize 512 --iteration_count 5 --load_size 512 --crop_size 512, running "Inference Using Pretrained Model" ,but I get an error like the one below. [PDF] [Project] [Github], Towards Automatic Face-to-Face Translation. Rui Zhang, Tomas Pfister, Jia Li. Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen. University of Science and Technology of China Abstract and Figures We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Fabio Pizzati, Pietro Cerri, Raoul de Charette. Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. arxiv 2021. [PDF] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. In each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. IJCV 2020. AAAI 2019. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. [PDF] [PDF], OT-CycleGAN: Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang. This code borrows heavily from CocosNet and DeepPruner. Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. arxiv 2022. TypeError: cannot unpack non-iterable NoneType object, Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zh, Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin, Realistic Full-Body Anonymization with Surface-Guided GANs This is the official, Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. The images from distinct domains are first aligned to an intermediate domain where dense correspondence is established. translation. LGGAN: Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo. [PDF][Github] [PDF], MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation. 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. 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 Note that --dataroot parameter is your DeepFashionHD dataset root, e.g. GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. Image Translation, Marginal Contrastive Correspondence for Guided Image Generation, Exploring Patch-wise Semantic Relation for Contrastive Learning in Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation. DSI2I: Dense Style for Unpaired Image-to-Image Translation. [PDF] [PDF], DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. [PDF], Image to Image Translation for Domain Adaptation.. Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim. arxiv 2021. Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. [PDF][Github] Flow-based Image-to-Image Translation with Feature Disentanglement. Reversible GANs for Memory-efficient Image-to-Image Translation. [PDF] [GIthub], Cross-Domain Cascaded Deep Feature Translation. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. A collection of awesome resources image-to-image translation. translation, full-resolution semantic correspondence can be established in an Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF] Attention-Aware Multi-Stroke Style Transfer. Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu. Unpaired Image-to-Image Translation using Adversarial Consistency Loss. [PDF] [Github] [Project], Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. Generating Diverse Translation by Manipulating Multi-Head Attention. StarGAN v2: Diverse Image Synthesis for Multiple Domains. van der Ouderaa, Daniel E. Worrall. Yaniv Taigman, Adam Polyak, Lior Wolf. Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. [PDF] [TOG 2020 Papers On The Web], MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing. python test.py --name deepfashionHD --dataset_mode deepfashionHD --dataroot deepfashionHD --PONO --PONO_C --no_flip --batchSize 8 --gpu_ids 0 --netCorr NoVGGHPM --nThreads 16 --nef 32 --amp --display_winsize 512 --iteration_count 5 --load_size 512 --crop_size 512, When I am running the project from the following command.

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