"denoising steps" Papers

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Exploiting Diffusion Prior for Task-driven Image Restoration

Jaeha Kim, Junghun Oh, Kyoung Mu Lee

ICCV 2025arXiv:2507.22459

NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou et al.

CVPR 2025arXiv:2412.02030

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Tonghe Zhang, Chao Yu, Sichang Su et al.

NEURIPS 2025arXiv:2505.22094

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets

Dale Decatur, Thibault Groueix, Wang Yifan et al.

ICCV 2025arXiv:2508.21032

Clockwork Diffusion: Efficient Generation With Model-Step Distillation

Amirhossein Habibian, Amir Ghodrati, Noor Fathima et al.

CVPR 2024highlightarXiv:2312.08128

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Junhyuk So, Jungwon Lee, Eunhyeok Park

ECCV 2024arXiv:2312.03517

ReNoise: Real Image Inversion Through Iterative Noising

Daniel Garibi, Or Patashnik, Andrey Voynov et al.

ECCV 2024arXiv:2403.14602