App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 9

Controllable 3d virtual try-on with disentangled representation and conditional diffusion fields

Wu Xiaoyu1
Wang Wenjuan2
Ma Shuyan1
1. School of Art Design, Beijing Polytechnic University, Beijing 100076, China
2. School of Art Design, Beijing University of Technology, Beijing 100124, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0538

Abstract

To address non-physical deformations, lack of fine-grained attribute control, and heavy dependency on 3D ground truth data in current virtual try-on methods, this paper proposes a controllable 3D virtual try-on framework named C3D-VTON. The framework used an inverse geometric mapping network to canonicalize arbitrary garment images into pose-agnostic textures, achieving effective representation disentanglement. A conditional latent diffusion model (LDM) generated 3D neural signed distance fields (SDF) in a continuous implicit space, enabling precise control over multi-dimensional attributes such as garment length and tightness via attribute modulation vectors. A hybrid supervision strategy, incorporating pose-driven differentiable rendering and knowledge distillation, was introduced to enable weak-supervised learning from 2D images, reducing the reliance on 3D scanned data. Experimental results on VITON-HD and DressCode datasets demonstrated that the proposed method outperformed state-of-the-art 2D approaches in image synthesis quality. The 3D geometric accuracy improved by 25.4% compared to GS-VTON.

Foundation Support

北京市教育科学"十四五"规划一般课题
《基于美育效果提升的高职"燕京八绝"非遗文化课程体系的构建研究》(CDDB24285)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0538
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 9

Publish History

[2026-05-26] Accepted Paper

Cite This Article

吴效瑜, 王文娟, 马淑燕. 基于解耦表征与条件扩散场的可控三维虚拟试衣方法 [J]. 计算机应用研究, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0538. (Wu Xiaoyu, Wang Wenjuan, Ma Shuyan. Controllable 3d virtual try-on with disentangled representation and conditional diffusion fields [J]. Application Research of Computers, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0538. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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