Motion Style Transfer

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (16 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.

• MoST: Motion Style Transformer between Diverse Action Contents
  10 Mar 2024 1 repository listed Syntology ran 7 of 9 samples · 2 unverified
  While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between motions with different contents.
• Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model
  1 Jan 2024 1 repository listed
  Our MCM-LDM's cornerstone lies in its ability first to disentangle and then intricately weave together motion's tripartite components: motion trajectory motion content and motion style.
• Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
  15 Jun 2023 1 repository listed
  In this work, we proposed a new style-diverse dataset for the domain of motion style transfer.
• Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
  6 Nov 2022 1 repository listed
  To this end, we introduce two components that exploit our prior knowledge of motion style shifts: (i) a low-rank motion style adapter that projects and adjusts the style features at a low-dimensional bottleneck; and…
• Motion Puzzle: Arbitrary Motion Style Transfer by Body Part
  10 Feb 2022 1 repository listed
  The Motion Puzzle is the first that can control the motion style of individual body parts, allowing for local style editing and significantly increasing the range of stylized motions.
• Unpaired Motion Style Transfer from Video to Animation
  12 May 2020 1 repository listed
  In this paper, we present a novel data-driven framework for motion style transfer, which learns from an unpaired collection of motions with style labels, and enables transferring motion styles not observed during…

Syntology lines on 1 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.