Poster "denoising diffusion models" Papers
12 papers found
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
NeurIPS 2025posterarXiv:2506.09681
Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2025posterarXiv:2410.18804
2
citations
MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction
Yusuke Yoshiyasu, Leyuan Sun, Ryusuke Sagawa
ICCV 2025posterarXiv:2507.15212
1
citations
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection
Jianwei Zhao, Xin Li, Fan Yang et al.
ECCV 2024posterarXiv:2407.13133
23
citations
InstructGIE: Towards Generalizable Image Editing
Zichong Meng, Changdi Yang, Jun Liu et al.
ECCV 2024posterarXiv:2403.05018
13
citations
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter, Chenyang Yuan
ICML 2024poster
Learning to Reach Goals via Diffusion
Vineet Jain, Siamak Ravanbakhsh
ICML 2024poster
Particle Denoising Diffusion Sampler
Angus Phillips, Hai-Dang Dau, Michael Hutchinson et al.
ICML 2024poster
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan, Hengheng Gong, Yongping He et al.
ICML 2024poster
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik et al.
ECCV 2024posterarXiv:2311.17057
51
citations
Sliced Wasserstein with Random-Path Projecting Directions
Khai Nguyen, Shujian Zhang, Tam Le et al.
ICML 2024poster
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
JIAN XU, Delu Zeng, John Paisley
ICML 2024poster