Pose Transfer

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (93 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Composer: Creative and Controllable Image Synthesis with Composable Conditions
  20 Feb 2023 6 repositories listed
  Recent large-scale generative models learned on big data are capable of synthesizing incredible images yet suffer from limited controllability.
• VirtualConductor: Music-driven Conducting Video Generation System
  28 Jul 2021 2 repositories listed
  In this demo, we present VirtualConductor, a system that can generate conducting video from any given music and a single user's image.
• XingGAN for Person Image Generation
  17 Jul 2020 2 repositories listed
  We propose a novel Generative Adversarial Network (XingGAN or CrossingGAN) for person image generation tasks, i.
• Controllable Person Image Synthesis with Attribute-Decomposed GAN
  27 Mar 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human attributes (e.
• Progressive Pose Attention Transfer for Person Image Generation
  6 Apr 2019 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  This paper proposes a new generative adversarial network for pose transfer, i.
• Pose Guided Person Image Generation
  25 May 2017 2 repositories listed
  This paper proposes the novel Pose Guided Person Generation Network (PG²) that allows to synthesize person images in arbitrary poses, based on an image of that person and a novel pose.
• Learning Flow Fields in Attention for Controllable Person Image Generation
  11 Dec 2024 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  Additionally, we show that our loss is model-agnostic and can be used to improve the performance of other diffusion models.
• TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
  27 Nov 2024 1 repository listed
  This paper introduces Virtual Try-Off (VTOFF), a novel task focused on generating standardized garment images from single photos of clothed individuals.
• One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild
  15 Sep 2024 1 repository listed
  Current Pose-Guided Person Image Synthesis (PGPIS) methods depend heavily on large amounts of labeled triplet data to train the generator in a supervised manner.
• Weakly-supervised 3D Pose Transfer with Keypoints
  25 Jul 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  The main challenges of 3D pose transfer are: 1) Lack of paired training data with different characters performing the same pose; 2) Disentangling pose and shape information from the target mesh; 3) Difficulty in…
• Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
  15 Jul 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  To address these issues, we propose a novel Deformable Motion Modulation (DMM) that utilizes geometric kernel offset with adaptive weight modulation to simultaneously perform feature alignment and style transfer.
• Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
  31 May 2023 1 repository listed
  We present a zero-shot approach that requires only the widely available deformed non-stylized avatars in training, and deforms stylized characters of significantly different shapes at inference.
• DSFFNet: Dual-Side Feature Fusion Network for 3D Pose Transfer
  24 May 2023 1 repository listed
  To solve the problem of pose distortion in the forward propagation of pose features in existing methods, this pa-per proposes a Dual-Side Feature Fusion Network for pose transfer (DSFFNet).
• MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
  26 Apr 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  Unsupervised methods have been proposed for graph convolutional models but they require ground truth correspondence between the source and target inputs.
• UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
  18 Apr 2023 1 repository listed
  Text-to-image models (T2I) such as StableDiffusion have been used to generate high quality images of people.
• Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
  18 Nov 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  With G as the basic component, we propose a cross consistency learning scheme and a dual reconstruction objective to learn the pose transfer without supervision.
• SCAM! Transferring humans between images with Semantic Cross Attention Modulation
  10 Oct 2022 1 repository listed
  In this work, we introduce SCAM (Semantic Cross Attention Modulation), a system that encodes rich and diverse information in each semantic region of the image (including foreground and background), thus achieving…
• Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures
  4 Oct 2022 1 repository listed
  Then we reconstruct the input image by sampling from the permuted textures for patch-level disentanglement.
• Cross Attention Based Style Distribution for Controllable Person Image Synthesis
  1 Aug 2022 1 repository listed
  In this paper, we propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer.
• Skeleton-free Pose Transfer for Stylized 3D Characters
  28 Jul 2022 1 repository listed
  We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging.
• TIPS: Text-Induced Pose Synthesis
  24 Jul 2022 1 repository listed Syntology ran 0 of 13 samples · 13 unverified
  In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that person.
• TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
  16 Jul 2022 1 repository listed Syntology ran 6 of 6 samples · 0 unverified
  Grasp pose estimation is an important issue for robots to interact with the real world.
• Multi-scale Attention Guided Pose Transfer
  14 Feb 2022 1 repository listed
  Pose transfer refers to the probabilistic image generation of a person with a previously unseen novel pose from another image of that person having a different pose.
• Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
  14 Dec 2021 1 repository listed
  Specifically, we propose a novel geometry-contrastive Transformer that has an efficient 3D structured perceiving ability to the global geometric inconsistencies across the given meshes.
• 3D Pose Transfer with Correspondence Learning and Mesh Refinement
  30 Sep 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  It aims to transfer the pose of a source mesh to a target mesh and keep the identity (e.
• Approximate Bijective Correspondence for isolating factors of variation
  29 Sep 2021 1 repository listed
  We propose a novel algorithm that relies on a weak form of supervision where the data is partitioned into sets according to certain \textit{inactive} factors of variation.
• Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
  17 Aug 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years.
• Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization
  31 May 2021 1 repository listed
  Moreover, we propose a novel Self-Training Part Replacement (STPR) strategy to refine the model for the texture-transfer task, which improves the quality of the generated clothes and the preservation ability of…
• Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
  14 Apr 2021 1 repository listed
  We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks.
• Learning Semantic Person Image Generation by Region-Adaptive Normalization
  14 Apr 2021 1 repository listed Syntology ran 9 of 11 samples · 2 unverified · 11 pointer-only (licence)
  In the first stage, we predict the target semantic parsing maps to eliminate the difficulties of pose transfer and further benefit the latter translation of per-region appearance style.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.