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ICCV 2025

2,701 papers

LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models

Mert Sonmezer, Matthew Zheng, Pinar Yanardag

DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance

Huu-Phu Do, Yu-Wei Chen, Yi-Cheng Liao, Chi-Wei Hsiao, Han-Yang Wang

Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification

Daqian Shi, Xiaolei Diao, Xu Chen, Cédric M John

Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment

Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo

MVGBench: a Comprehensive Benchmark for Multi-view Generation Models

Xianghui Xie, Jan Eric Lessen, Gerard Pons-Moll

A Recipe for Generating 3D Worlds from a Single Image

Katja Schwarz, Denis Rozumny, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Hai Huang, Yan Xia, Sashuai Zhou, Hanting Wang, Shulei Wang

Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models

Zhen Zeng, Leijiang Gu, Xun Yang, Zhangling Duan, Zenglin Shi

Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling

Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong

TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba

Xiaowen Ma, Zhenliang Ni, Xinghao Chen

Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval

Dohwan Ko, Ji Soo Lee, Minhyuk Choi, Zihang Meng, Hyunwoo J. Kim

Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention

Shiwei Zhang, Qi Zhou, Wei Ke

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation

Changsong Lei, Yaqian Liang, Shaofeng Wang, Jiajia Dai, Yong-jin Liu

Analyzing Finetuning Representation Shift for Multimodal LLMs Steering

Pegah Khayatan, Mustafa Shukor, Jayneel Parekh, Arnaud Dapogny, Matthieu Cord

Visual Intention Grounding for Egocentric Assistants

Pengzhan Sun, Junbin Xiao, Tze Ho Elden Tse, Yicong Li, Arjun Akula

MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization

Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen

Where, What, Why: Towards Explainable Driver Attention Prediction

Yuchen Zhou, Jiayu Tang, Xiaoyan Xiao, Yueyao Lin, Linkai Liu

CLIP-Adapted Region-to-Text Learning for Generative Open-Vocabulary Semantic Segmentation

Jiannan Ge, Lingxi Xie, Hongtao Xie, Pandeng Li, Sun-Ao Liu

Polarimetric Neural Field via Unified Complex-Valued Wave Representation

Chu Zhou, Yixin Yang, Junda Liao, Heng Guo, Boxin Shi

Towards Performance Consistency in Multi-Level Model Collaboration

Qi Li, Runpeng Yu, Xinchao Wang

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution

Gene Chou, Wenqi Xian, Guandao Yang, Mohamed Abdelfattah, Bharath Hariharan

Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization

Thomas Carr, Depeng Xu, Shuhan Yuan, Aidong Lu

OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images

Ziyue Huang, Yongchao Feng, Ziqi Liu, Shuai Yang, Qingjie LIU

MemDistill: Distilling LiDAR Knowledge into Memory for Camera-Only 3D Object Detection

Donghyeon Kwon, Youngseok Yoon, Hyeongseok Son, Suha Kwak

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning

Xinyao Liu, Diping Song

Diffusion Image Prior

Hamadi Chihaoui, Paolo Favaro

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM

Yatai Ji, Jiacheng Zhang, Jie Wu, Shilong Zhang, Shoufa Chen

Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning

Yafei Zhang, Lingqi Kong, Huafeng Li, Jie Wen

M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast

Jiacheng Lu, Hui Ding, Shiyu Zhang, Guoping Huo

GENMO: A GENeralist Model for Human MOtion

Jiefeng Li, Jinkun Cao, Haotian Zhang, Davis Rempe, Jan Kautz

AnyI2V: Animating Any Conditional Image with Motion Control

Ziye Li, Hao Luo, Xincheng Shuai, Henghui Ding

Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image

Jerred Chen, Ronald Clark

Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement

Priyank Pathak, Yogesh S. Rawat

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An

Debiased Teacher for Day-to-Night Domain Adaptive Object Detection

Yiming Cui, Liang Li, Haibing Yin, Yuhan Gao, Yaoqi Sun

HouseTour: A Virtual Real Estate A(I)gent

Ata Çelen, Marc Pollefeys, Daniel Barath, Iro Armeni

Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry

Matan Kichler, Shai Bagon, Mark Sheinin

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

Bo Liu, Ke Zou, Li-Ming Zhan, Zexin Lu, Xiaoyu Dong

Rectifying Magnitude Neglect in Linear Attention

Qihang Fan, Huaibo Huang, Yuang Ai, Ran He

DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion Models

SeungHoo Hong, Geonho Son, Juhun Lee, Simon S. Woo

Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement

Shuo Zhang, Chen Gao, Youfang Lin

When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack

Hanqing Liu, Shouwei Ruan, Yao Huang, Shiji Zhao, Xingxing Wei

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models

Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li

Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning.

Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana

MINERVA: Evaluating Complex Video Reasoning

Arsha Nagrani, Sachit Menon, Ahmet Iscen, Shyamal Buch, Ramin Mehran

Understanding Museum Exhibits using Vision-Language Reasoning

Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal

LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D Capabilities

Chenming Zhu, Tai WANG, Wenwei Zhang, Jiangmiao Pang, Xihui Liu

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers

Shijie Ma, Yuying Ge, Teng Wang, Yuxin Guo, Yixiao Ge

EDiT: Efficient Diffusion Transformers with Linear Compressed Attention

Philipp Becker, Abhinav Mehrotra, Ruchika Chavhan, Malcolm Chadwick, Luca Morreale

RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness

Yuyang Yang, Wen Li, Sheng Ao, Qingshan Xu, Shangshu Yu

DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads

Xiaoxi Liang, Yanbo Fan, Qiya Yang, Xuan Wang, Wei Gao

Representation Shift: Unifying Token Compression with FlashAttention

Joonmyung Choi, Sanghyeok Lee, Byungoh Ko, Eunseo Kim, Jihyung Kil

SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views under Unconstrained Illuminations

Qi Zhang, Chi Huang, Qian Zhang, Nan Li, Wei Feng

RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration

Chong Cheng, YU HU, Sicheng Yu, Beizhen Zhao, Zijian Wang

IM360: Large-scale Indoor Mapping with 360 Cameras

Dongki Jung, Jaehoon Choi, Yonghan Lee, Dinesh Manocha

Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving

Hao Zhou, Zhanning Gao, Zhili Chen, Maosheng Ye, Qifeng Chen

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining

Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu

GauUpdate: New Object Insertion in 3D Gaussian Fields with Consistent Global Illumination

Chengwei Ren, Fan Zhang, Liangchao Xu, Liang Pan, Ziwei Liu

3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

Lukas Höllein, Aljaz Bozic, Michael Zollhöfer, Matthias Nießner

CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy

Jiakai Zhang, Shouchen Zhou, Haizhao Dai, Xinhang Liu, Peihao Wang

Drawing Developmental Trajectory from Cortical Surface Reconstruction

Wenxuan Wu, Ruowen Qu, Zhongliang Liu, Zhuoyan Dai, Dongzi Shi

Enhancing Transformers Through Conditioned Embedded Tokens

Hemanth Saratchandran, Simon Lucey

Learning Robust Image Watermarking with Lossless Cover Recovery

Jiale Chen, Wei Wang, Chongyang Shi, Li Dong, Xiping Hu

Subjective Camera 1.0: Bridging Human Cognition and Visual Reconstruction through Sequence-Aware Sketch-Guided Diffusion

Haoyang Chen, Dongfang Sun, Caoyuan Ma, Shiqin Wang, Kewei Zhang

Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch

Hyuck Lee, Taemin Park, Heeyoung Kim

HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding

Jiahe Zhao, Ruibing Hou, Zejie Tian, Hong Chang, Shiguang Shan

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Yi Yang, Xiaoxuan He, Hongkun Pan, Xiyan Jiang, Yan Deng

Cross-View Isolated Sign Language Recognition via View Synthesis and Feature Disentanglement

Xin Shen, Xinyu Wang, Lei Shen, Kaihao Zhang, Xin Yu

TokensGen: Harnessing Condensed Tokens for Long Video Generation

Wenqi Ouyang, Zeqi Xiao, Danni Yang, Yifan Zhou, Shuai Yang

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models

Ziyin Zhou, Yunpeng Luo, Yuanchen Wu, Ke Sun, Jiayi Ji

Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression

Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation

Ruotong Wang, Mingli Zhu, Jiarong Ou, Rui Chen, Xin Tao

Attention to the Burstiness in Visual Prompt Tuning!

Yuzhu Wang, Manni Duan, Shu Kong

Radiant Foam: Real-Time Differentiable Ray Tracing

Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

Uncertainty-Aware Gradient Stabilization for Small Object Detection

Huixin Sun, Yanjing Li, Linlin Yang, Xianbin Cao, Baochang Zhang

Denoising Token Prediction in Masked Autoregressive Models

Ting Yao, Yehao Li, Yingwei Pan, Zhaofan Qiu, Tao Mei

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

Yuhao Wang, Wei Xi

Dual-Temporal Exemplar Representation Network for Video Semantic Segmentation

Xiaolong Xu, Lei Zhang, Jiayi Li, Lituan Wang, Yifan Guan

ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching

Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang

Lifting the Structural Morphing for Wide-Angle Images Rectification: Unified Content and Boundary Modeling

Wenting Luan, Siqi Lu, Yongbin Zheng, Wanying Xu, Lang Nie

Neural Compression for 3D Geometry Sets

Siyu Ren, Junhui Hou, Weiyao Lin, Wenping Wang

Ultra-Precision 6DoF Pose Estimation Using 2-D Interpolated Discrete Fourier Transform

Guowei Shi, Zian Mao, Peisen Huang

SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions

Mengwei Xie, Shuang Zeng, Xinyuan Chang, Xinran Liu, Zheng Pan

Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting

Seunggeun Chi, Enna Sachdeva, Pin-Hao Huang, Kwonjoon Lee

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models

Yuchen Liu, Yaoming Wang, Bowen Shi, XIAOPENG ZHANG, Wenrui Dai

Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks

Hao Huang, Shuaihang Yuan, Geeta Chandra Raju Bethala, Congcong Wen, Anthony Tzes

DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability

Xirui Hu, Jiahao Wang, Hao Chen, Weizhan Zhang, Benqi Wang

Sim-DETR: Unlock DETR for Temporal Sentence Grounding

Jiajin Tang, Zhengxuan Wei, Yuchen Zhu, Cheng Shi, Guanbin Li

Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction

Zhirui Gao, Renjiao Yi, Yaqiao Dai, Xuening Zhu, Wei Chen

Efficient Concertormer for Image Deblurring and Beyond

Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning

Shengao Wang, Arjun Chandra, Aoming Liu, Venkatesh Saligrama, Boqing Gong

A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds

Jizong Peng, Tze Ho Elden Tse, Kai Xu, Wenchao Gao, Angela Yao

Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset

Ruofei Wang, Peiqi Duan, Boxin Shi, Renjie Wan

From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision

Chuang Yu, Jinmiao Zhao, Yunpeng Liu, Sicheng Zhao, Yimian Dai

FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift

Yong Zhang, Feng Liang, Guanghu Yuan, Min Yang, Chengming Li

Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration

Dongyue Wu, Zilin Guo, Jialong Zuo, Nong Sang, Changxin Gao

Authentic 4D Driving Simulation with a Video Generation Model

Lening Wang, Wenzhao Zheng, Dalong Du, Yunpeng Zhang, Yilong Ren

SL2A-INR: Single-Layer Learnable Activation for Implicit Neural Representation

Reza Rezaeian, Moein Heidari, Reza Azad, Dorit Merhof, Hamid Soltanian-Zadeh

ImHead: A Large-scale Implicit Morphable Model for Localized Head Modeling

Rolandos Alexandros Potamias, Stathis Galanakis, Jiankang Deng, Athanasios Papaioannou, Stefanos Zafeiriou

B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens

Zhuqiang Lu, Zhenfei Yin, Mengwei He, Zhihui Wang, Zicheng Liu