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https://github.com/Zhangjinso/Awesome-pose-transfer
A collection of papers and codes for human pose transfer
https://github.com/Zhangjinso/Awesome-pose-transfer
List: Awesome-pose-transfer
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A collection of papers and codes for human pose transfer
- Host: GitHub
- URL: https://github.com/Zhangjinso/Awesome-pose-transfer
- Owner: Zhangjinso
- Created: 2020-05-08T12:48:10.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2023-10-11T02:03:44.000Z (9 months ago)
- Last Synced: 2024-04-04T04:19:28.097Z (3 months ago)
- Size: 83 KB
- Stars: 257
- Watchers: 18
- Forks: 17
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Lists
- awesome-virtual-try-on - Awesome pose transfer
- ultimate-awesome - Awesome-pose-transfer - A collection of papers and codes for human pose transfer. (Other Lists / Julia Lists)
README
# Awesome-pose-transfer
A collection of papers and codes for human pose transfer
# Methods
| Model | Published | Paper | Codes |
| ------------------ | ------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| Ma et al. | NIPS 17 | [ Pose Guided Person Image Generation](https://papers.nips.cc/paper/6644-pose-guided-person-image-generation.pdf) | [Tensorflow](https://github.com/charliememory/Pose-Guided-Person-Image-Generation) [Pytorch](https://github.com/harshitbansal05/Pose-Guided-Image-Generation) |
| Ma et al. | CVPR 18 | [Disentangled Person Image Generation](http://homes.esat.kuleuven.be/~liqianma/pdf/CVPR18_Ma_Disentangled_Person_Image_Generation.pdf) | [Tensorflow](https://github.com/charliememory/Disentangled-Person-Image-Generation) |
| VUNet | CVPR 18 | [A Variational U-Net for Conditional Appearance and Shape Generation](https://compvis.github.io/vunet/images/vunet.pdf) | [Tensorflow](https://github.com/CompVis/vunet) [Pytorch](https://github.com/jhaux/VUNet) |
| DeformGan | CVPR 18 | [Deformable GANs for Pose-based Human Image Generation](https://arxiv.org/abs/1801.00055) | [Tensorflow](https://github.com/AliaksandrSiarohin/pose-gan) [Pytorch](https://github.com/ssfootball04/pose-transfer) |
| Song et al. | CVPR 19 | [Unsupervised Person Image Generation with Semantic Parsing Transformation](https://arxiv.org/abs/1904.03379) | [Pytorch](https://github.com/SijieSong/person_generation_spt) |
| PATN | CVPR 19 | [Progressive Pose Attention for Person Image Generation](http://arxiv.org/abs/1904.03349) | [Pytorch](https://github.com/tengteng95/Pose-Transfer) |
| Li et al. | CVPR 19 | [Dense Intrinsic Appearance Flow for Human Pose Transfer](http://mmlab.ie.cuhk.edu.hk/projects/pose-transfer/) | [Pytorch](https://github.com/ly015/intrinsic_flow) |
| LWG | ICCV 19 | [Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis](https://arxiv.org/pdf/1909.12224.pdf) | [Pytorch](https://github.com/svip-lab/impersonator) |
| Guided-pix2pix | ICCV 19 | [Guided Image-to-Image Translation with Bi-Directional Feature Transformation](https://filebox.ece.vt.edu/~Badour/guided_pix2pix.pdf) | [Pytorch](https://github.com/vt-vl-lab/Guided-pix2pix?tdsourcetag=s_pctim_aiomsg) |
| BiGraphGAN | BMVC 20 | [Bipartite Graph Reasoning GANs for Person Image Generation](https://arxiv.org/abs/2008.04381) | [Pytorch](https://github.com/Ha0Tang/BiGraphGAN) |
| GFLA | CVPR 20 | [Deep Image Spatial Transformation for Person Image Generation](https://arxiv.org/abs/2003.00696) | [Pytorch](https://github.com/RenYurui/Global-Flow-Local-Attention) |
| ADGan | CVPR 20 | [Controllable Person Image Synthesis with Attribute-Decomposed GAN](https://arxiv.org/abs/2003.12267) | [Pytorch](https://github.com/menyifang/ADGAN) |
| CoCosNet | CVPR 20 | [Cross-domain Correspondence Learning for Exemplar-based Image Translation](https://arxiv.org/abs/2004.05571) | [Pytorch](https://github.com/microsoft/CoCosNet) |
| Repose | CVPRW 20 | [Reposing Humans by Warping 3D Features](https://arxiv.org/pdf/2006.04898.pdf) | [Tensorflow](https://github.com/MKnoche/warp3d_reposing/blob/master/train.py) |
| Pose Stylizer | IJCAI 20 | [Generating Person Images with Appearance-aware Pose Stylizer](https://arxiv.org/pdf/2007.09077.pdf) | [pytorch](https://github.com/siyuhuang/PoseStylizer) |
| PINet | PG 20 | [Human Pose Transfer by Adaptive Hierarchical Deformation]() | [pytorch](https://github.com/Zhangjinso/PINet_PG) |
| XingGan | ECCV 20 | [XingGAN for Person Image Generation](https://arxiv.org/abs/2007.09278) | [pytorch](https://github.com/Ha0Tang/XingGAN) |
| LWG | TPAMI 20 | [Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis](https://arxiv.org/abs/2011.09055v1) | [pytorch](https://github.com/iPERDance/iPERCore) |
| SCAGAN | ICME 21 | [SPATIAL CONTENT ALIGNMENT FOR POSE TRANSFER](https://arxiv.org/pdf/2103.16828.pdf) | [Pytorch](https://github.com/rocketappslab/SCA-GAN) |
| PISE | CVPR 21 | [PISE: Person Image Synthesis and Editing with Decoupled GAN](https://arxiv.org/abs/2103.04023) | [pytorch](https://github.com/Zhangjinso/PISE) |
| RAN | CVPR 21 | [Learning Semantic Person Image Generation by Region-Adaptive Normalization]() | [pytorch](https://github.com/cszy98/SPGNet) |
| FGTBN | CVPR 21 | [Flow Guided Transformable Bottleneck Networks for Motion Retargeting](https://arxiv.org/pdf/2106.07771.pdf) | |
| MRAA | CVPR 21 | [Motion Representations for Articulated Animation](https://arxiv.org/abs/2104.11280) | [pytorch](https://github.com/snap-research/articulated-animation) |
| Pose with style | SIGGRAPG ASIA 2021 | [Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN ](https://arxiv.org/pdf/2109.06166) | [project page](https://pose-with-style.github.io/) |
| SATT | TIP 2021 | [Spatial-Aware Texture Transformer for High-Fidelity Garment Transfer](https://ieeexplore.ieee.org/document/9525061) | |
| PoT-GAN | TIP 2021 | [PoT-GAN: Pose Transform GAN for Person Image Synthesis](https://ieeexplore.ieee.org/document/9524559) | |
| M. J. Black et al. | ICCV 2021 | Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency | [project page](https://ps.is.mpg.de/research_projects/neural-rendering) |
| DBT | CVPR 2022 | [Exploring Dual-task Correlation for Pose Guided Person Image Generation](https://arxiv.org/pdf/2203.02910.pdf) | [Pytorch](https://github.com/PangzeCheung/Dual-task-Pose-Transformer-Network) |
| NTED | CVPR 2022 | [Neural Texture Extraction and Distribution for ControllablePerson Image Synthesis](https://arxiv.org/pdf/2204.06160.pdf) | [Pytorch](https://github.com/RenYurui/Neural-Texture-Extraction-Distribution) |
| DynaST | ECCV 2022 | [DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation](https://arxiv.org/abs/2207.06124v1) | [Pytorch](https://github.com/Huage001/DynaST) |
| CASD | ECCV 2022 | [Cross Attention Based Style Distribution for Controllable Person Image Synthesis](https://arxiv.org/pdf/2208.00712.pdf) | [pytorch](https://github.com/xyzhouo/CASD) |
| PIDM | CVPR 2023 | [Person Image Synthesis via Denoising Diffusion Model]() | [pytorch](https://github.com/ankanbhunia/PIDM) |
| WaveIPT | ICCV 2023 | [WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer](https://openaccess.thecvf.com/content/ICCV2023/html/Ma_WaveIPT_Joint_Attention_and_Flow_Alignment_in_the_Wavelet_domain_ICCV_2023_paper.html) | |
| | ICCV 2023 | [Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion](https://openaccess.thecvf.com/content/ICCV2023/html/Han_Controllable_Person_Image_Synthesis_with_Pose-Constrained_Latent_Diffusion_ICCV_2023_paper.html) | |
| UPGPT | ICCVW 2023 | [UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer](https://arxiv.org/abs/2304.08870) | [Pytorch](https://github.com/soon-yau/upgpt) |
| | ICCV 2023 | [Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures](https://openaccess.thecvf.com/content/ICCV2023/papers/Li_Collecting_The_Puzzle_Pieces_Disentangled_Self-Driven_Human_Pose_Transfer_by_ICCV_2023_paper.pdf) | [Pytorch](https://github.com/NannanLi999/pt_square)
# Other paper
## Survey
2021.09 [Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis](https://arxiv.org/pdf/2109.02081.pdf)
2022.12 [Human Image Generation: A Comprehensive Survey](https://arxiv.org/abs/2212.08896.pdf)
## arxiv
2023.10 [ADVANCING POSE-GUIDED IMAGE SYNTHESIS WITH PROGRESSIVE CONDITIONAL DIFFUSION MODELS](https://github.com/muzishen/PCDMs)
2023.04 [Human pose transfer via shape-aware partial flow prediction network](https://link.springer.com/article/10.1007/s00530-023-01089-8)
2023.04 [HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation](https://arxiv.org/abs/2304.04269)
2022.11 [VGFlow: Visibility guided Flow Network for Human Reposing](https://arxiv.org/pdf/2211.08540)
2022.11 [Person Image Synthesis via Denoising Diffusion Model](https://arxiv.org/pdf/2211.12500.pdf)
2022.02 [Multi-scale Attention Guided Pose Transfer](https://arxiv.org/pdf/2202.06777) [code](https://github.com/prasunroy/pose-transfer)
2021.12 [FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer ](https://arxiv.org/pdf/2112.00281)
2021.12 [GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation](https://arxiv.org/pdf/2112.00263)
2021.11 [Self-supervised Correlation Mining Network for Person Image Generation](https://arxiv.org/pdf/2111.13307)
2021.09 [A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer](https://arxiv.org/pdf/2109.11719)
2021.08 [Combining Attention with Flow for Person Image Synthesis ](https://arxiv.org/pdf/2108.01823)
2021.07 [Human Pose Transfer with Disentangled Feature Consistency](https://arxiv.org/pdf/2107.10984.pdf)
2021.06 [Robust Pose Transfer with Dynamic Details using Neural Video Rendering ](https://arxiv.org/pdf/2106.14132)
[Unsupervised Pose Flow Learning for Pose Guided synthesis](https://arxiv.org/abs/1909.13819)
[Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild](https://arxiv.org/pdf/2007.15068.pdf)
[Pose-Guided High-Resolution Appearance Transfer via Progressive Training](https://arxiv.org/pdf/2008.11898.pdf)
[CharacterGAN: Few-Shot Keypoint Character Animation and Reposing](https://arxiv.org/abs/2102.03141) | [**Pytorch**](https://github.com/tohinz/CharacterGAN)
[Style and Pose Control for Image Synthesis of Humans from a Single Monocular View](https://arxiv.org/pdf/2102.11263.pdf)
[Dressing in Order: Recurrent Person Image Generation for Pose Transfer,Virtual Try-on and Outfit Editing](https://arxiv.org/pdf/2104.07021.pdf)
[SPATIAL CONTENT ALIGNMENT FOR POSE TRANSFER](https://arxiv.org/pdf/2103.16828.pdf) | [**pytorch**](https://github.com/rocketappslab/SCA-GAN)
[Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization](https://arxiv.org/abs/2105.14739)
## CVPR 2020
[Wish YouWere Here: Context-Aware Human Generation](https://arxiv.org/abs/2005.10663)
## ECCV 2020
[Neural Re-Rendering of Humans from a single image](http://gvv.mpi-inf.mpg.de/projects/NHRR/data/1415.pdf)
## AAAI 2021
[Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation](https://arxiv.org/pdf/2102.02972.pdf)
## CVPR 2021
[Pose-Guided Human Animation from a Single Image in the Wild](https://arxiv.org/pdf/2012.03796.pdf)
[HumanGAN: A Generative Model of Human Images]()
## ICIP 2020
[POSE GUIDED PERSON IMAGE GENERATION WITH HIDDEN P-NORM REGRESSION](https://arxiv.org/pdf/2102.10033.pdf)
# Animation
ToG 19 [Neural Animation and Reenactment of Human Actor Videos](https://arxiv.org/abs/1809.03658)
TVCG 20 [Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation](https://arxiv.org/pdf/2001.04947.pdf)