2025 "diffusion models" Papers
364 papers found • Page 6 of 8
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.
RB-Modulation: Training-Free Stylization using Reference-Based Modulation
Litu Rout, Yujia Chen, Nataniel Ruiz et al.
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
Hyeonho Jeong, Suhyeon Lee, Jong Ye
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu, Tianxiang Pan, Rui Qin et al.
Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning
Buzhen Huang, Chen Li, Chongyang Xu et al.
Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos
Kaihua Chen, Tarasha Khurana, Deva Ramanan
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang, Ling Yang, Zhaoyang Huang et al.
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
Tianyuan Zhang, Zhengfei Kuang, Haian Jin et al.
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi et al.
Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack et al.
Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks
Wangjia Yu, Xiaomeng Fu, Qiao Li et al.
RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais et al.
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
Zichong Meng, Yiming Xie, Xiaogang Peng et al.
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu, Xiyan Cai, Xinjie Zhang et al.
Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis
M. Hamza Mughal, Rishabh Dabral, Merel CJ Scholman et al.
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective
Yang Zhang, Xinran Li, Jianing Ye et al.
Riemannian Consistency Model
Chaoran Cheng, Yusong Wang, Yuxin Chen et al.
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
Tianyi Yan, Wencheng Han, xia zhou et al.
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Shilin Lu, Zihan Zhou, Jiayou Lu et al.
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition
Sina Malakouti, Adriana Kovashka
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin et al.
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
Qianlan Yang, Yu-Xiong Wang
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Junsong Chen, Shuchen Xue, Yuyang Zhao et al.
SAS: Segment Any 3D Scene with Integrated 2D Priors
Zhuoyuan Li, Jiahao Lu, Jiacheng Deng et al.
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
Siwei Tu, Ben Fei, Weidong Yang et al.
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.
Scaling Properties of Diffusion Models For Perceptual Tasks
Rahul Ravishankar, Zeeshan Patel, Jathushan Rajasegaran et al.
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
Zilyu Ye, Zhiyang Chen, Tiancheng Li et al.
ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided Diffusion
AO LI, Jinpeng Liu, Yixuan Zhu et al.
SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
zhangkai wu, Xuhui Fan, Hongyu Wu et al.
SDMatte: Grafting Diffusion Models for Interactive Matting
Longfei Huang, Yu Liang, Hao Zhang et al.
Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
Qingsong Wang, Zhengchao Wan, Misha Belkin et al.
See Further When Clear: Curriculum Consistency Model
Yunpeng Liu, Boxiao Liu, Yi Zhang et al.
Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects
Weimin Qiu, Jieke Wang, Meng Tang
Self-diffusion for Solving Inverse Problems
Guanxiong Luo, Shoujin Huang
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Xun Huang, Zhengqi Li, Guande He et al.
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
Jian Zhu, He Wang, Yang Xu et al.
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
Gyoung S. Na, Chanyoung Park
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens
Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models
Jaerin Lee, Daniel Jung, Kanggeon Lee et al.
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
Lexiang Xiong, Liu Chengyu, Jingwen Ye et al.
SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
Hsi-Ling Chen, Chun-Shien Lu, Pau-Choo Chung
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
Koichi Namekata, Sherwin Bahmani, Ziyi Wu et al.
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models
Wenda Li, Huijie Zhang, Qing Qu
Simple ReFlow: Improved Techniques for Fast Flow Models
Beomsu Kim, Yu-Guan Hsieh, Michal Klein et al.
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
Rohit Gandikota, Zongze Wu, Richard Zhang et al.
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
Yining Hong, Beide Liu, Maxine Wu et al.
SMITE: Segment Me In TimE
Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari et al.
Solving Video Inverse Problems Using Image Diffusion Models
Taesung Kwon, Jong Chul YE