Papers with Code 아카이브

Pose Transfer

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하위 태스크

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평가표

6

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AliaksandrSiarohin/pose-gan

공식 코드

Deformable GANs for Pose-based Human Image Generation

https://github.com/ChaoyueSong/X-DualNet

공식 코드

Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction

https://github.com/Dongqi-Fan/OnePoseTrans

공식 코드

One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild

https://github.com/Ha0Tang/BiGraphGAN

공식 코드

Bipartite Graph Reasoning GANs for Person Image Generation

https://github.com/Ha0Tang/XingGAN

공식 코드

XingGAN for Person Image Generation

https://github.com/Zhangjinso/PINet_PG

공식 코드

Human Pose Transfer by Adaptive Hierarchical Deformation

https://github.com/Zhangjinso/PISE

공식 코드

PISE: Person Image Synthesis and Editing with Decoupled GAN

https://github.com/Zhangjinso/PoNA

공식 코드

PoNA: Pose-guided Non-local Attention for Human Pose Transfer

https://github.com/chaoyuesong/3d-corenet

공식 코드

3D Pose Transfer with Correspondence Learning and Mesh Refinement

https://github.com/cszy98/SPGNet

공식 코드

Learning Semantic Person Image Generation by Region-Adaptive Normalization

https://github.com/cuiaiyu/dressing-in-order

공식 코드

Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing

https://github.com/damo-vilab/composer

공식 코드

Composer: Creative and Controllable Image Synthesis with Composable Conditions

https://github.com/franciszzj/leffa

공식 코드

Learning Flow Fields in Attention for Controllable Person Image Generation

https://github.com/google-research/google-research

공식 코드

Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision

https://github.com/jiashunwang/Neural-Pose-Transfer

공식 코드

Neural Pose Transfer by Spatially Adaptive Instance Normalization

https://github.com/jinnan-chen/3d-pose-transfer

공식 코드

Weakly-supervised 3D Pose Transfer with Keypoints

https://github.com/justin941208/mapconnet

공식 코드

MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning

https://github.com/mikecheninoulu/cgt

공식 코드

Geometry-Contrastive Transformer for Generalized 3D Pose Transfer

https://github.com/mikecheninoulu/unsupervised_iepgan

공식 코드

Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

https://github.com/nannanli999/pt_square

공식 코드

Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures

https://github.com/nicolas-dufour/SCAM

공식 코드

SCAM! Transferring humans between images with Semantic Cross Attention Modulation

https://github.com/pablopalafox/npms

공식 코드

NPMs: Neural Parametric Models for 3D Deformable Shapes

https://github.com/prasunroy/pose-transfer

공식 코드

Multi-scale Attention Guided Pose Transfer

https://github.com/prasunroy/tips

공식 코드

TIPS: Text-Induced Pose Synthesis

https://github.com/rizavelioglu/tryoffdiff

공식 코드

TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models

https://github.com/rocketappslab/SCA-GAN

공식 코드

Spatial Content Alignment For Pose Transfer

https://github.com/rocketappslab/bdmm

공식 코드

Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer

https://github.com/soon-yau/upgpt

공식 코드

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

https://github.com/tengteng95/Pose-Transfer

공식 코드

Progressive Pose Attention Transfer for Person Image Generation

https://github.com/vt-vl-lab/Guided-pix2pix

공식 코드

Guided Image-to-Image Translation with Bi-Directional Feature Transformation

https://github.com/xyzhouo/casd

공식 코드

Cross Attention Based Style Distribution for Controllable Person Image Synthesis

https://github.com/yanjh97/transgrasp

공식 코드

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

https://github.com/yikidragon/dsffnet

공식 코드

DSFFNet: Dual-Side Feature Fusion Network for 3D Pose Transfer

https://github.com/zhangqianhui/Sawn

공식 코드

Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization

https://github.com/ChenDelong1999/VirtualConductor

VirtualConductor: Music-driven Conducting Video Generation System

https://github.com/Ha0Tang/XingVTON

XingGAN for Person Image Generation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.