2025 Poster "denoising process" Papers
17 papers found
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
shangwen zhu, Han Zhang, Zhantao Yang et al.
ICCV 2025posterarXiv:2503.09675
BADiff: Bandwidth Adaptive Diffusion Model
Xi Zhang, Hanwei Zhu, Yan Zhong et al.
NEURIPS 2025posterarXiv:2510.21366
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
Kunyun Wang, Bohan Li, Kai Yu et al.
NEURIPS 2025posterarXiv:2505.14741
1
citations
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan et al.
ICLR 2025posterarXiv:2410.02543
15
citations
dKV-Cache: The Cache for Diffusion Language Models
Xinyin Ma, Runpeng Yu, Gongfan Fang et al.
NEURIPS 2025posterarXiv:2505.15781
66
citations
DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Maximilian Du, Shuran Song
NEURIPS 2025posterarXiv:2506.13922
5
citations
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model
Yukang Cao, Chenyang Si, Jinghao Wang et al.
ICCV 2025posterarXiv:2507.01953
5
citations
Is Your Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.
NEURIPS 2025poster
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
Lital Binyamin, Yoad Tewel, Hilit Segev et al.
CVPR 2025posterarXiv:2406.10210
32
citations
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
Chenglong Wang, Yang Gan, Hang Zhou et al.
NEURIPS 2025posterarXiv:2510.21473
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability
Lei Wang, Senmao Li, Fei Yang et al.
CVPR 2025posterarXiv:2505.03097
2
citations
Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis
Xinyu Hou, Zongsheng Yue, Xiaoming Li et al.
ICCV 2025posterarXiv:2411.17769
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
Huanpeng Chu, Wei Wu, Guanyu Feng et al.
ICCV 2025posterarXiv:2508.16212
6
citations
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
Maosen Zhao, Pengtao Chen, Chong Yu et al.
CVPR 2025posterarXiv:2505.21591
3
citations
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
Yao Teng, Fu-Yun Wang, Xian Liu et al.
NEURIPS 2025posterarXiv:2510.08994
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
Mateo Clémente, Leo Brunswic, Yang et al.
NEURIPS 2025posterarXiv:2510.21991
1
citations
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
Dohun Lee, Bryan Sangwoo Kim, Geon Yeong Park et al.
CVPR 2025posterarXiv:2410.04364
2
citations