Papers
184,605 papers found
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
Yuexin Bian, Jie Feng, Yuanyuan Shi
DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
Liuhan Yin, Runkun Ju, Guodong Guo et al.
DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
Seyedehanita Madani, Rama Chellappa, Vishal M. Patel
Diffusion-Assisted Progressive Learning for Weakly Supervised Phrase Localization
Pengyue Lin, Yanyang Hu, Xinjing Liu et al.
Diffusion-Based Action Recognition Generalizes to Untrained Domains
Rogério Guimarães, Frank Xiao, Pietro Perona et al.
Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning
Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret et al.
Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations
Jiawei Lian, Zhengxue Wang, Wentao Qu et al.
Diffusion-based Personalized Pathology Disentanglement for Impaired Gait Analysis
Xiaoyue Wan, Xu Zhao
Diffusion-calibrated Continual Test-time Adaptation
Xu Yang, Moqi Li, Kun Wei
Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion
An Zhao, Shengyuan Zhang, Zejian Li et al.
Diffusion for Combating the Hallucination in Large Language Models (Student Abstract)
Hyojun Ahn, Joongheon Kim
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis
Jingyu Gong, Chong Zhang, Fengqi Liu et al.
Diffusion Language Model Inference with Monte Carlo Tree Search
Zheng Huang, Kiran Ramnath, Yueyan Chen et al.
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
Youming Chen, Zhaoqiang Liu
Diffusion Noise Optimization for Synthetic VLM Training
Ren Ohkubo, Rintaro Yanagi, Hirokatsu Kataoka et al.
Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration
Ni Tang, Xiaotong Luo, Zihan Cheng et al.
DiffusionPose: Markov-Optimized Diffusion Model for Human Pose Estimation
Zhigang Wang, Zhenguang Liu, Shaojing Fan et al.
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
Mingyang Chen, Jiawei Du, Bo Huang et al.
Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation
Shulei Ji, Zihao Wang, Jiaxing Yu et al.
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
Jiang Zhu, Yulin Jin, Qingqing Ye et al.
DigimonGPT: An Evolvable Agent with Hierarchical Human-like Memory for Video Question Answering
Borui Li, Xingcai Zhang, Tianen Liu et al.
Digital Forensic AI You Can Explain: A Case Study on Video Source Camera Identification
Maryna Veksler, Kemal Akkaya, Selcuk Uluagac
Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset
Frederik Rajiv Manichand, Robin Deuber, Robert Jakob et al.
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
Mostofa Rafid Uddin, Jana Armouti, Umong Sain et al.
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation
Fan Zhang, Jinpeng Chen, Tao Wang et al.