"denoising diffusion probabilistic models" Papers
10 papers found
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
Wentao Qu, Jing Wang, Yongshun Gong et al.
CVPR 2025posterarXiv:2411.16308
9
citations
Denoising Levy Probabilistic Models
Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus
ICLR 2025poster
Graph Diffusion that can Insert and Delete
Matteo Ninniri, Marco Podda, Davide Bacciu
NeurIPS 2025posterarXiv:2506.15725
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
Youssef Shehata, Benjamin Holzschuh, Nils Thuerey
ICLR 2025oral
3
citations
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement
Ye Tian, Angela McCarthy, Gabriel Gomide et al.
NeurIPS 2025spotlight
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
Junchao Gong, Siwei Tu, Weidong Yang et al.
ICLR 2025oralarXiv:2410.05805
7
citations
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
Candi Zheng, Yuan LAN
ICML 2024posterarXiv:2312.07586
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos et al.
ICML 2024posterarXiv:2405.19201
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Lin Zhu, Yunlong Zheng, Yijun Zhang et al.
ECCV 2024posterarXiv:2407.10636
5
citations
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
AAAI 2024paperarXiv:2312.11707