CVPR Papers
5,589 papers found • Page 12 of 112
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
Chensheng Peng, Chengwei Zhang, Yixiao Wang et al.
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Yihao Wang, Marcus Klasson, Matias Turkulainen et al.
Detail-Preserving Latent Diffusion for Stable Shadow Removal
Jiamin Xu, Yuxin Zheng, Zelong Li et al.
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
Feifei Li, Mi Zhang, Yiming Sun et al.
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine
Zhaohu Xing, Lihao Liu, Yijun Yang et al.
Detecting Adversarial Data Using Perturbation Forgery
Qian Wang, Chen Li, Yuchen Luo et al.
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Jiahao Xu, Zikai Zhang, Rui Hu
Detecting Open World Objects via Partial Attribute Assignment
Muli Yang, Gabriel James Goenawan, Huaiyuan Qin et al.
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu, Yao Qin
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection
Houzhang Fang, Xiaolin Wang, Zengyang Li et al.
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li, Meng Pang, Yun Dong et al.
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
Bohan Xiao, PEIYONG WANG, Qisheng He et al.
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
Hua Yu, Weiming Liu, Gui Xu et al.
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
Kyungmin Jo, Jooyeol Yun, Jaegul Choo
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
Zhangqi Jiang, Junkai Chen, Beier Zhu et al.
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
Yiming Zhong, Qi Jiang, Jingyi Yu et al.
DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
Zhixuan Liang, Yao Mu, Yixiao Wang et al.
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Luyuan Xie, Tianyu Luan, Wenyuan Cai et al.
DFM: Differentiable Feature Matching for Anomaly Detection
Wu Sheng, Yimi Wang, Xudong Liu et al.
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng et al.
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning
Kun Zhang, Jingyu Li, Zhe Li et al.
DiC: Rethinking Conv3x3 Designs in Diffusion Models
Yuchuan Tian, Jing Han, Chengcheng Wang et al.
DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting
Seungjun Lee, Gim Hee Lee
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Johannes Schusterbauer, Ming Gui, Frank Fundel et al.
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences
Xingjian Li, Qiming Zhao, Neelesh Bisht et al.
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
Xin Liang, Yogesh S. Rawat
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
Hyunsoo Kim, Donghyun Kim, Suhyun Kim
Differentiable Inverse Rendering with Interpretable Basis BRDFs
Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek
DiffFNO: Diffusion Fourier Neural Operator
Xiaoyi Liu, Hao Tang
DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
Radu Alexandru Rosu, Keyu Wu, Yao Feng et al.
DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement
huang yongshu, Chen Liu, Minghang Zhu et al.
Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
Jianlong Jin, Chenglong Zhao, Ruixin Zhang et al.
DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis
Yuming Gu, Phong Tran, Yujian Zheng et al.
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Jianzong Wu, Chao Tang, Jingbo Wang et al.
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
Jinjin Zhang, qiuyu Huang, Junjie Liu et al.
Diffusion-based Event Generation for High-Quality Image Deblurring
Xinan Xie, Qing Zhang, Wei-Shi Zheng
Diffusion-based Realistic Listening Head Generation via Hybrid Motion Modeling
Yinuo Wang, Yanbo Fan, Xuan Wang et al.
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning
Jeongryong Lee, Yejee Shin, Geonhui Son et al.
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao, Shaoyu Chen, haoran yin et al.
Diffusion Model is Effectively Its Own Teacher
Xinyin Ma, Runpeng Yu, Songhua Liu et al.
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models
Ruofan Liang, Žan Gojčič, Huan Ling et al.
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang et al.
DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
Qitao Zhao, Amy Lin, Jeff Tan et al.
DiffVsgg: Diffusion-Driven Online Video Scene Graph Generation
Mu Chen, Liulei Li, Wenguan Wang et al.
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
Xingyuan Li, Zirui Wang, Yang Zou et al.
DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
Jay Zhangjie Wu, Yuxuan Zhang, Haithem Turki et al.
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset
Zhao Dong, Ka chen, Zhaoyang Lv et al.
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer
Ho-Joong Kim, Yearang Lee, Jung-Ho Hong et al.
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
Lianghui Zhu, Zilong Huang, Bencheng Liao et al.
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
Erjian Guo, Zhen Zhao, Zicheng Wang et al.