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Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry.
Computer modeling, analysis, and synthesis of dressed humans
Nebojsa Jojic, Jin Gu, TS Shen, and Thomas S Huang · 1999
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3ds Max Modeling for Games: Insider’s guide to game character, vehicle, and environment modeling
Andrew Gahan · 2012
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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One millisecond face alignment with an ensemble of regression trees
Vahid Kazemi and Josephine Sullivan · 2014
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Deep human parsing with active template regression
Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, and Shuicheng Yan · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Scalable person re-identification: A benchmark
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian · 2015
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Comparative deep learning of hybrid representations for image recommendations
Chenyi Lei, Dong Liu, Weiping Li, Zheng-Jun Zha, and Houqiang Li · 2016
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DeepFashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
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Fashion landmark detection in the wild
Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2016
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3D body shapes estimation from dressed-human silhouettes
Dan Song, Ruofeng Tong, Jian Chang, Xiaosong Yang, Min Tang, and Jian Jun Zhang · 2016
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Towards principled methods for training generative adversarial networks
Martin Arjovsky and Léon Bottou · 2017
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Realtime multi-person 2D pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, and Liang Lin · 2017
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Improved training of wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Beyond face rotation: Global and local perception GAN for photorealistic and identity preserving frontal view synthesis
Rui Huang, Shu Zhang, Tianyu Li, and Ran He · 2017
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Visually-aware fashion recommendation and design with generative image models
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, and Julian McAuley · 2017
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Pose guided person image generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, and Luc Van Gool · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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A simple yet effective baseline for 3D human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
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Coarse-to-fine volumetric prediction for single-image 3D human pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
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A variational U-Net for conditional appearance and shape generation
Patrick Esser, Ekaterina Sutter, and Björn Ommer · 2018
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VITON: An image-based virtual Try-On network
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, and Larry S Davis · 2018
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Disentangled person image generation
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, and Mario Fritz · 2018
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BaGAN: Data augmentation with balancing GAN
Giovanni Mariani, Florian Scheidegger, Roxana Istrate, Costas Bekas, and Cristiano Malossi · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Deformable GANs for pose-based human image generation
Aliaksandr Siarohin, Enver Sangineto, Stéphane Lathuilière, and Nicu Sebe · 2018
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Toward characteristic-preserving image-based virtual Try-On network
Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, and Meng Yang · 2018
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FairGAN: Fairness-aware generative adversarial networks
Depeng Xu, Shuhan Yuan, Lu Zhang, and Xintao Wu · 2018
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AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros · 2019
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Towards multi-pose guided virtual Try-On network
Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, and Jian Yin · 2019
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Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram, Du Tran, and Dhruv Mahajan · 2019
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Bias correction of learned generative models using likelihood-free importance weighting
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric J Horvitz, and Stefano Ermon · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Liquid warping GAN: A unified framework for human motion imitation, appearance transfer and novel view synthesis
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, and Shenghua Gao · 2019
Cited alongside, same era.
Large-scale long-tailed recognition in an open world
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, and Stella X Yu · 2019
Cited alongside, same era.
Ensembling with deep generative views
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, and Richard Zhang · 2021
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Efficient geometry-aware 3D generative adversarial networks
Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2021
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Pi-GAN: Periodic implicit generative adversarial networks for 3D-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
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GLEAN: Generative latent bank for large-factor image super-resolution
Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy · 2021
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Diffusion models beat GANs on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, and Shuicheng Yan · 2019
Cited alongside, same era.
3DPeople: Modeling the geometry of dressed humans
Albert Pumarola, Jordi Sanchez-Riera, Gary Choi, Alberto Sanfeliu, and Francesc Moreno-Noguer · 2019
Cited alongside, same era.
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network
Prasanna Sattigeri, Samuel C Hoffman, Vijil Chenthamarakshan, and Kush R Varshney · 2019
Cited alongside, same era.
Absolute human pose estimation with depth prediction network
Márton Véges and András Lőrincz · 2019
Cited alongside, same era.
Generating high-resolution fashion model images wearing custom outfits
Gokhan Yildirim, Nikolay Jetchev, Roland Vollgraf, and Urs Bergmann · 2019
Cited alongside, same era.
Progressive augmentation of GANs
Dan Zhang and Anna Khoreva · 2019
Cited alongside, same era.
Image2StyleGAN++: How to edit the embedded images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
Cited alongside, same era.
Detail me more: Improving GAN’s photo-realism of complex scenes
Raghudeep Gadde, Qianli Feng, and Aleix M Martinez · 2021
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StylePeople: A generative model of fullbody human avatars
Artur Grigorev, Karim Iskakov, Anastasia Ianina, Renat Bashirov, Ilya Zakharkin, Alexander Vakhitov, and Victor Lempitsky · 2021
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StyleNERF: A style-based 3D-aware generator for high-resolution image synthesis
Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt · 2021
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Deceive D: Adaptive Pseudo Augmentation for GAN training with limited data
Liming Jiang, Bo Dai, Wayne Wu, and Chen Change Loy · 2021
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Robust reference-based super-resolution via C2-Matching
Yuming Jiang, Kelvin CK Chan, Xintao Wang, Chen Change Loy, and Ziwei Liu · 2021
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Talk-to-edit: Fine-grained facial editing via dialog
Yuming Jiang, Ziqi Huang, Xingang Pan, Chen Change Loy, and Ziwei Liu · 2021
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Alias-free generative adversarial networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
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TryOnGAN: Body-aware Try-On via layered interpolation
Kathleen M Lewis, Srivatsan Varadharajan, and Ira Kemelmacher-Shlizerman · 2021
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Animated 3D human avatars from a single image with GAN-based texture inference
Zhong Li, Lele Chen, Celong Liu, Fuyao Zhang, Zekun Li, Yu Gao, Yuanzhou Ha, Chenliang Xu, Shuxue Quan, and Yi Xu · 2021
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GIRAFFE: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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StyleSDF: High-resolution 3D-consistent image and geometry generation
Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, and Ira Kemelmacher-Shlizerman · 2021
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StyleCLIP: Text-driven manipulation of StyleGAN imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Pivotal tuning for latent-based editing of real images
Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or · 2021
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Style and pose control for image synthesis of humans from a single monocular view
Kripasindhu Sarkar, Vladislav Golyanik, Lingjie Liu, and Christian Theobalt · 2021
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HumanGAN: A generative model of human images
Kripasindhu Sarkar, Lingjie Liu, Vladislav Golyanik, and Christian Theobalt · 2021
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HyperExtended LightFace: A facial attribute analysis framework
Sefik Ilkin Serengil and Alper Ozpinar · 2021
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Closed-form factorization of latent semantics in GANs
Yujun Shen and Bolei Zhou · 2021
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Designing an encoder for StyleGAN image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
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WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
Christos Tzelepis, Georgios Tzimiropoulos, and Ioannis Patras · 2021
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Faces a la carte: Text-to-face generation via attribute disentanglement
Tianren Wang, Teng Zhang, and Brian Lovell · 2021
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High-fidelity GAN inversion for image attribute editing
Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, and Qifeng Chen · 2021
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StyleSpace analysis: Disentangled controls for StyleGAN image generation
Zongze Wu, Dani Lischinski, and Eli Shechtman · 2021
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TediGAN: Text-guided diverse face image generation and manipulation
Weihao Xia, Yujiu Yang, Jing-Hao Xue, and Baoyuan Wu · 2021
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InsetGAN for full-body image generation
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J Mitra, Peter Wonka, and Jingwan Lu · 2022
Closest in time.
StyleMC: Multi-channel based fast text-guided image generation and manipulation
Umut Kocasari, Alara Dirik, Mert Tiftikci, and Pinar Yanardag · 2022
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StyleGAN-XL: Scaling StyleGAN to large diverse datasets
Axel Sauer, Katja Schwarz, and Andreas Geiger · 2022
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TransEditor: Transformer-based dual-space GAN for highly controllable facial editing
Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, and Wayne Wu · 2022
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