CVPR 2025 Poster Papers
2,482 papers found • Page 1 of 50
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
Jingwei Zhang, Anh Tien Nguyen, Xi Han et al.
3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation
Weijie Wei, Osman Ülger, Fatemeh Karimi Nejadasl et al.
3D Dental Model Segmentation with Geometrical Boundary Preserving
Shufan Xi, Zexian Liu, Junlin Chang et al.
3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
Yihang Luo, Shangchen Zhou, Yushi Lan et al.
3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
yating wang, Xuan Wang, Ran Yi et al.
3D Gaussian Inpainting with Depth-Guided Cross-View Consistency
Sheng-Yu Huang, Zi-Ting Chou, Yu-Chiang Frank Wang
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
Jianing "Jed" Yang, Xuweiyi Chen, Nikhil Madaan et al.
3D-GSW: 3D Gaussian Splatting for Robust Watermarking
Youngdong Jang, Hyunje Park, Feng Yang et al.
3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
Qi Wu, Janick Martinez Esturo, Ashkan Mirzaei et al.
3D-HGS: 3D Half-Gaussian Splatting
Haolin Li, Jinyang Liu, Mario Sznaier et al.
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
Jiajun Deng, Tianyu He, Li Jiang et al.
3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning
Yuncong Yang, Han Yang, Jiachen Zhou et al.
3D-MVP: 3D Multiview Pretraining for Manipulation
Shengyi Qian, Kaichun Mo, Valts Blukis et al.
3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation
Gyeongrok Oh, Sung June Kim, Heeju Ko et al.
3D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
Yihua Cheng, Hengfei Wang, Zhongqun Zhang et al.
3D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
Chenhui Shi, Fulin Tang, Ning An et al.
3D Student Splatting and Scooping
Jialin Zhu, Jiangbei Yue, Feixiang He et al.
4Deform: Neural Surface Deformation for Robust Shape Interpolation
Lu Sang, Zehranaz Canfes, Dongliang Cao et al.
4D-Fly: Fast 4D Reconstruction from a Single Monocular Video
Diankun Wu, Fangfu Liu, Yi-Hsin Hung et al.
4DGC: Rate-Aware 4D Gaussian Compression for Efficient Streamable Free-Viewpoint Video
Qiang Hu, Zihan Zheng, Houqiang Zhong et al.
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
Wanhua Li, Renping Zhou, Jiawei Zhou et al.
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
Hidenobu Matsuki, Gwangbin Bae, Andrew J. Davison
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Dongshuo Yin, Leiyi Hu, Bin Li et al.
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
Xuan Wang, Xitong Gao, Dongping Liao et al.
A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
Keyu Tu, Mengqi Huang, Zhuowei Chen et al.
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
wenxin ma, Xu Zhang, Qingsong Yao et al.
ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
Woojin Lee, Hyugjae Chang, Jaeho Moon et al.
ABC-Former: Auxiliary Bimodal Cross-domain Transformer with Interactive Channel Attention for White Balance
Yu-Cheng Chiu, GUAN-RONG CHEN, Zihao Chen et al.
A Bias-Free Training Paradigm for More General AI-generated Image Detection
Fabrizio Guillaro, Giada Zingarini, Ben Usman et al.
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers
Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian et al.
ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
Xinyu Xiang, Qinglong Yan, HAO ZHANG et al.
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation
Kendong Liu, Zhiyu Zhu, Hui LIU et al.
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
Zhiyuan Chen, Keyi Li, Yifan Jia et al.
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu et al.
Accurate Differential Operators for Hybrid Neural Fields
Aditya Chetan, Guandao Yang, Zichen Wang et al.
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
Andrea Maracani, Savas Ozkan, Sijun Cho et al.
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
Zihao Wang, Yuxiang Wei, Fan Li et al.
ACL: Activating Capability of Linear Attention for Image Restoration
Yubin Gu, Yuan Meng, Jiayi Ji et al.
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
Kai Wang, Mingjia Shi, YuKun Zhou et al.
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
Andrew Z Wang, Songwei Ge, Tero Karras et al.
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration
Junyuan Deng, Xinyi Wu, Yongxing Yang et al.
Action Detail Matters: Refining Video Recognition with Local Action Queries
Mengmeng Wang, Zeyi Huang, Xiangjie Kong et al.
Activating Sparse Part Concepts for 3D Class Incremental Learning
Zhenya Tian, Jun Xiao, Liu lupeng et al.
Active Data Curation Effectively Distills Large-Scale Multimodal Models
Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem et al.
Active Event-based Stereo Vision
Jianing Li, Yunjian Zhang, Haiqian Han et al.
ActiveGAMER: Active GAussian Mapping through Efficient Rendering
Liyan Chen, Huangying Zhan, Kevin Chen et al.
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
Jingyi Xie, Jintao Yang, Zhunchen Luo et al.
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
Yiyang Du, Xiaochen Wang, Chi Chen et al.
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm et al.
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
Takuma Fukuda, Hiroshi Kera, Kazuhiko Kawamoto