ICCV

HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis

Timo Teufel, Pulkit Gera, Xilong Zhou, Umar Iqbal, Pramod Rao, Jan Kautz, Vladislav Golyanik, Christian Theobalt

机构 * Max Planck Institute for Informatics（马克斯·普朗克信息研究所） ； NVIDIA（英伟达） 纠错

Comments TT and PG contributed equally; accepted at ICCV 2025; project page: https://vcai.mpi-inf.mpg.de/projects/HumanOLAT/

VertexRegen: Mesh Generation with Continuous Level of Detail

Xiang Zhang, Yawar Siddiqui, Armen Avetisyan, Chris Xie, Jakob Engel, Henry Howard-Jenkins

机构 * UC San Diego（圣迭戈大学） ； Meta Reality Labs Research（Meta现实实验室） 纠错

Comments ICCV 2025. Project Page: https://vertexregen.github.io/

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale

Yuhao Wang, Wei Xi

机构 * Xi’an Jiaotong University（西安交通大学） 纠错

Comments ICCV 2025

Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation

Ao Ma, Jiasong Feng, Ke Cao, Jing Wang, Yun Wang, Quanwei Zhang, Zhanjie Zhang

机构 * JD.com, Inc.（京东公司） 纠错

Comments Accepted by ICCV 2025

Preview WB-DH: Towards Whole Body Digital Human Bench for the Generation of Whole-body Talking Avatar Videos

Chaoyi Wang, Yifan Yang, Jun Pei, Lijie Xia, Jianpo Liu, Xiaobing Yuan, Xinhan Di

Comments This paper has been accepted by ICCV 2025 Workshop MMFM4

GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments

Lin Zeng, Boming Zhao, Jiarui Hu, Xujie Shen, Ziqiang Dang, Hujun Bao, Zhaopeng Cui

机构 * State Key Lab of CAD & CG（计算机辅助设计与图形学国家重点实验室） 纠错

Comments Accepted to ICCV 2025

Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment

Shi-Chen Zhang, Yunheng Li, Yu-Huan Wu, Qibin Hou, Ming-Ming Cheng

机构 * VCIP, CS, Nankai University（VCIP、计算机科学系、南开大学） 纠错

Comments Accepted at ICCV 2025. Project page: https://github.com/HVision-NKU/OffSeg

DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding

Wenwen Yu, Zhibo Yang, Yuliang Liu, Xiang Bai

机构 * Huazhong University of Science and Technology（华中科技大学） ； Alibaba Group（阿里巴巴集团） 纠错

Comments ICCV 2025

CObL: Toward Zero-Shot Ordinal Layering without User Prompting

Aneel Damaraju, Dean Hazineh, Todd Zickler

机构 * Harvard University, School of Engineering and Applied Sciences（哈佛大学工程与应用科学学院） 纠错

Comments ICCV 2025: Project page with demo, datasets, and code: https://vision.seas.harvard.edu/cobl/

MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing

Langyu Wang, Bingke Zhu, Yingying Chen, Yiyuan Zhang, Ming Tang, Jinqiao Wang

机构 * Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, China（中国科学院自动化研究所基础模型研究中心） 纠错

Comments Accpted by ICCV 2025

What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning

Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai

机构 * Indiana University（印第安纳大学） ； National Yang-Ming Chiao-Tung University（国家阳明交通大学） ； Atmanity Inc.（Atmanity公司） 纠错

Comments 16 pages, 4 figures

Journal ref International Conference on Computer Vision, ICCV 2025

UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Fangwei Zhong, Kui Wu, Churan Wang, Hao Chen, Hai Ci, Zhoujun Li, Yizhou Wang

机构 * School of Artificial Intelligence, Beijing Normal University（北京师范大学人工智能学院） ； State Key Laboratory of Complex & Critical Software Environment, Beihang University（北航复杂与关键软件环境国家重点实验室） ； School of Computer Science, Institute for Artificial Intelligence, State Key Laboratory of General Artificial Intelligence, Peking University（北京大学计算机学院） ； City University of Macau（澳门城市大学） ； National University of Singapore（新加坡国立大学） ； Beijing Institute for General Artificial Intelligence (BIGAI)（北京通用人工智能研究院） 纠错

Comments ICCV 2025 (Highlight), Project page: http://unrealzoo.site/

WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image

Yuci Liang, Xinheng Lyu, Wenting Chen, Meidan Ding, Jipeng Zhang, Xiangjian He, Song Wu, Xiaohan Xing, Sen Yang, Xiyue Wang, Linlin Shen

机构 * Shenzhen University（深圳大学） ； University of Nottingham Ningbo China（诺丁汉大学宁波分校） ； City University of Hong Kong（香港城市大学） ； Stanford University（斯坦福大学） ； Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

Comments ICCV 2025, 38 pages, 22 figures, 35 tables

SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data

Xilin He, Cheng Luo, Xiaole Xian, Bing Li, Muhammad Haris Khan, Zongyuan Ge, Weicheng Xie, Siyang Song, Linlin Shen, Bernard Ghanem, Xiangyu Yue

机构 * School of Computer Science & Software Engineering, Shenzhen University, China（深圳大学计算机科学与软件工程学院） ； Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China（广东省人工智能与数字经济实验室） ； Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University, China（广东省智能信息处理重点实验室） ； KAUST（卡塔尔科技大学） ； Monash University（墨尔本大学） ； School of Computer Science, University of Exeter, UK（埃克塞特大学计算机科学学院） ； Computer Vision Institute, School of Artificial Intelligence, Shenzhen University, China（深圳大学人工智能学院计算机视觉研究所） ； MBZUAI（穆罕默德·本·拉什德智能研究院） ； The Chinese University of Hong Kong（香港中文大学） 纠错

Comments ICCV 2025