The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results
Abstract
This paper reviews the 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real), held in conjunction with ICCV 2025. The workshop aimed to bridge the gap between the theoretical promise of Disentangled Representation Learning (DRL) and its application in realistic scenarios, moving beyond synthetic benchmarks. DRL4Real focused on evaluating DRL methods in practical applications such as controllable generation, exploring advancements in model robustness, interpretability, and generalization. The workshop accepted 9 papers covering a broad range of topics, including the integration of novel inductive biases (e.g., language), the application of diffusion models to DRL, 3D-aware disentanglement, and the expansion of DRL into specialized domains like autonomous driving and EEG analysis. This summary details the workshop's objectives, the themes of the accepted papers, and provides an overview of the methodologies proposed by the authors.
Keywords
Cite
@article{arxiv.2509.10463,
title = {The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results},
author = {Qiuyu Chen and Xin Jin and Yue Song and Xihui Liu and Shuai Yang and Tao Yang and Ziqiang Li and Jianguo Huang and Yuntao Wei and Ba'ao Xie and Nicu Sebe and Wenjun and Zeng and Jooyeol Yun and Davide Abati and Mohamed Omran and Jaegul Choo and Amir Habibian and Auke Wiggers and Masato Kobayashi and Ning Ding and Toru Tamaki and Marzieh Gheisari and Auguste Genovesio and Yuheng Chen and Dingkun Liu and Xinyao Yang and Xinping Xu and Baicheng Chen and Dongrui Wu and Junhao Geng and Lexiang Lv and Jianxin Lin and Hanzhe Liang and Jie Zhou and Xuanxin Chen and Jinbao Wang and Can Gao and Zhangyi Wang and Zongze Li and Bihan Wen and Yixin Gao and Xiaohan Pan and Xin Li and Zhibo Chen and Baorui Peng and Zhongming Chen and Haoran Jin},
journal= {arXiv preprint arXiv:2509.10463},
year = {2025}
}
Comments
Workshop summary paper for ICCV 2025, 9 accepted papers, 9 figures, IEEE conference format, covers topics including diffusion models, controllable generation, 3D-aware disentanglement, autonomous driving applications, and EEG analysis