"diffusion models" Papers

1,011 papers found • Page 2 of 21

Beyond Scores: Proximal Diffusion Models

Zhenghan Fang, Mateo Diaz, Sam Buchanan et al.

NEURIPS 2025arXiv:2507.08956
3
citations

Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning

Hairui Ren, Fan Tang, He Zhao et al.

CVPR 2025arXiv:2504.11930

Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents

Han Lin, Jaemin Cho, Amir Zadeh et al.

NEURIPS 2025arXiv:2508.05954
6
citations

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models

Xingyu Zheng, Xianglong Liu, Haotong Qin et al.

ICLR 2025arXiv:2404.05662
7
citations

Boost 3D Reconstruction using Diffusion-based Monocular Camera Calibration

Junyuan Deng, Wei Yin, Xiaoyang Guo et al.

ICCV 2025arXiv:2411.17240
5
citations

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability

Boyong He, Yuxiang Ji, Zhuoyue Tan et al.

ICCV 2025highlightarXiv:2506.21042
1
citations

BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training

Xuanpu Zhang, Dan Song, pengxin zhan et al.

CVPR 2025arXiv:2408.06047
22
citations

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Yue Zhou, Xinan He, Kaiqing Lin et al.

NEURIPS 2025arXiv:2506.00874
12
citations

BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion

Hao Guo, Xiaoshui Huang, Hao jiacheng et al.

CVPR 2025
3
citations

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework

Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo et al.

ICCV 2025arXiv:2508.04090
1
citations

Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach

Yuchen Liang, Peizhong Ju, Yingbin Liang et al.

ICLR 2025arXiv:2402.13901
12
citations

BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization

Tonghan Wang, Yanchen Jiang, David Parkes

NEURIPS 2025arXiv:2502.15283
2
citations

Calibrated Multi-Preference Optimization for Aligning Diffusion Models

Kyungmin Lee, Xiaohang Li, Qifei Wang et al.

CVPR 2025arXiv:2502.02588
26
citations

CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing

Xinran Qin, Zhixin Wang, Fan Li et al.

NEURIPS 2025

Can Diffusion Models Disentangle? A Theoretical Perspective

Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong et al.

NEURIPS 2025arXiv:2504.00220

CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion

Yunlong Tang, Gen Zhan, Li Yang et al.

AAAI 2025paperarXiv:2408.12009
13
citations

CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction

Zhefei Gong, Pengxiang Ding, Shangke Lyu et al.

ICCV 2025arXiv:2412.06782
24
citations

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models

Xin Jing, Yichen Jing, Yuhuan Lu et al.

AAAI 2025paperarXiv:2409.16619
2
citations

CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Zheng Chong, Xiao Dong, Haoxiang Li et al.

ICLR 2025arXiv:2407.15886
68
citations

Causal Composition Diffusion Model for Closed-loop Traffic Generation

Haohong Lin, Xin Huang, Tung Phan-Minh et al.

CVPR 2025arXiv:2412.17920
13
citations

Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis

Lei-lei Li, Jianwu Fang, Junbin Xiao et al.

ICCV 2025arXiv:2506.23263

Certified Human Trajectory Prediction

Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Askari Farsangi et al.

CVPR 2025arXiv:2403.13778
2
citations

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Hyungjin Chung, Jeongsol Kim, Geon Yeong Park et al.

ICLR 2025arXiv:2406.08070
83
citations

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model

Qi Zang, Jiayi Yang, Shuang Wang et al.

AAAI 2025paperarXiv:2412.15541
9
citations

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers

Jiaqi Han, Haotian Ye, Puheng Li et al.

ICCV 2025arXiv:2507.15260

CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems

Long Wei, Haodong Feng, Yuchen Yang et al.

ICLR 2025arXiv:2408.03124
5
citations

CleanDIFT: Diffusion Features without Noise

Nick Stracke, Stefan Andreas Baumann, Kolja Bauer et al.

CVPR 2025arXiv:2412.03439
24
citations

CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts

Olaf Dünkel, Artur Jesslen, Jiahao Xie et al.

ICCV 2025arXiv:2507.17651

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

AAAI 2025paperarXiv:2408.12418

CoInD: Enabling Logical Compositions in Diffusion Models

Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

ICLR 2025arXiv:2503.01145
5
citations

Color Conditional Generation with Sliced Wasserstein Guidance

Alexander Lobashev, Maria Larchenko, Dmitry Guskov

NEURIPS 2025spotlightarXiv:2503.19034
4
citations

Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism

Kunyun Wang, Bohan Li, Kai Yu et al.

NEURIPS 2025arXiv:2505.14741
1
citations

ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors

Tianxin Huang, Zhiwen Yan, Yuyang Zhao et al.

ICLR 2025arXiv:2404.06814
5
citations

Composing Parts for Expressive Object Generation

Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni et al.

CVPR 2025arXiv:2406.10197
1
citations

Composing Unbalanced Flows for Flexible Docking and Relaxation

Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.

ICLR 2025
8
citations

Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models

Samuel Lavoie, Michael Noukhovitch, Aaron Courville

NEURIPS 2025arXiv:2507.12318
1
citations

Composition and Alignment of Diffusion Models using Constrained Learning

Shervin Khalafi, Ignacio Hounie, Dongsheng Ding et al.

NEURIPS 2025arXiv:2508.19104
2
citations

Concept Lancet: Image Editing with Compositional Representation Transplant

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan et al.

CVPR 2025arXiv:2504.02828
1
citations

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

Ruchika Chavhan, Da Li, Timothy Hospedales

ICLR 2025arXiv:2405.19237
37
citations

Concept Reachability in Diffusion Models: Beyond Dataset Constraints

Marta Aparicio Rodriguez, Xenia Miscouridou, Anastasia Borovykh

ICML 2025arXiv:2505.19313

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization

lingyun zhang, Yu Xie, Yanwei Fu et al.

CVPR 2025arXiv:2412.01244
5
citations

Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation

Maximilian Ulmer, Wout Boerdijk, Rudolph Triebel et al.

ICCV 2025arXiv:2508.04122
1
citations

Consistent and Controllable Image Animation with Motion Diffusion Models

Xin Ma, Yaohui Wang, Gengyun Jia et al.

CVPR 2025arXiv:2407.15642
13
citations

Constrained Diffusers for Safe Planning and Control

Jichen Zhang, Liqun Zhao, Antonis Papachristodoulou et al.

NEURIPS 2025arXiv:2506.12544
5
citations

Constrained Generative Modeling with Manually Bridged Diffusion Models

Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg et al.

AAAI 2025paperarXiv:2502.20371
6
citations

Constrained Posterior Sampling: Time Series Generation with Hard Constraints

Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.

NEURIPS 2025arXiv:2410.12652
2
citations

Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting

Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva et al.

ICCV 2025highlightarXiv:2508.00427
2
citations

Continual Personalization for Diffusion Models

Yu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang et al.

ICCV 2025arXiv:2510.02296

Continuous Diffusion for Mixed-Type Tabular Data

Markus Mueller, Kathrin Gruber, Dennis Fok

ICLR 2025arXiv:2312.10431
10
citations

Continuous Diffusion Model for Language Modeling

Jaehyeong Jo, Sung Ju Hwang

NEURIPS 2025arXiv:2502.11564
4
citations