Papers
176,624 papers found
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance
Hyunsoo Lee, Minsoo Kang, Bohyung Han
Diffusion-based Event Generation for High-Quality Image Deblurring
Xinan Xie, Qing Zhang, Wei-Shi Zheng
Diffusion-Based Extreme High-speed Scenes Reconstruction with the Complementary Vision Sensor
Yapeng Meng, Yihan Lin, Taoyi Wang et al.
Diffusion-Based Generative Regularization for Supervised Discriminative Learning
Takuya Asakura, Nakamasa Inoue, Koichi Shinoda
Diffusion-Based Imaginative Coordination for Bimanual Manipulation
Huilin Xu, Jian Ding, Jiakun Xu et al.
Diffusion-Based Particle-DETR for BEV Perception
Asen Nachkov, Danda Pani Paudel, Martin Danelljan et al.
Diffusion-based Realistic Listening Head Generation via Hybrid Motion Modeling
Yinuo Wang, Yanbo Fan, Xuan Wang et al.
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
Diffusion-based Source-biased Model for Single Domain Generalized Object Detection
Han Jiang, Wenfei Yang, Tianzhu Zhang et al.
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification
Wenbo Dai, Lijing Lu, Zhihang Li
Diffusion-Based Visual Anagram as Multi-Task Learning
Zhiyuan Xu, Yinhe Chen, Huan-ang Gao et al.
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning
Jeong Ryong Lee, Yejee Shin, Geonhui Son et al.
Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion
Yijun Liang, Shweta Bhardwaj, Tianyi Zhou
Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Quan Nguyen-Tri, Cong Dao Tran, Hoang Thanh-Tung
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao, Shaoyu Chen, Haoran Yin et al.
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
Yingsong Huang, Hui Guo, Jing Huang et al.
Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
Diffusion Guided Propagation Augmentation for Popularity Prediction
Chaozhuo Li, Tianqi Yang, Litian Zhang et al.
Diffusion Image Prior
Hamadi Chihaoui, Paolo Favaro
DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement
Xiaoqiang Teng, Chenyang Li, Shibiao Xu et al.
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
Michele De Vita, Vasileios Belagiannis
Diffusion Model is Effectively Its Own Teacher
Xinyin Ma, Runpeng Yu, Songhua Liu et al.
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham, Sangmin Woo, Jin-Young Kim et al.
Diffusion Models for Attribution
Xiongren Chen, Jiuyong Li, Jixue Liu et al.
Diffusion Models for Robotics
Jessica E. Liang