Diffusion-Based Denoising

Latest papers

41 papers5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

ReState: Noise-Level-Aware State Correction for Training-Free Object Removal in Few-Step Diffusion Models
Oct 15, 2026Donghwan Lee, Sanghyun Jo, Sihyun Kim +2Object Removal Diffusion-Based Image Editing
Seoul National University · OGQ
AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers
Oct 12, 2026Javad Rajabi, Koorosh Roohi, David B. Lindell +1Diffusion Transformer Diffusion-Based Image Generation
University of Toronto · Vector Institute
APEX: Asynchronous Prefix Denoising for Extreme Compression
Oct 9, 2026David Dinkevich, Nisan Chiprut, Yoav HaCohen +1Latent Diffusion Models Diffusion Model Compression
Lightricks · Hebrew University of Jerusalem
PreviewDiff: Multimodal Critic-Guided Search over Diffusion Latents
Sep 28, 2026Vighnesh Subramaniam, Boris Katz, Brian Cheung +3Diffusion Model Guidance T2I Generation
MIT CSAIL · Google Cloud AI Research · UCSF
Unlocking Few-Step Diffusion for Faithful Previews
Sep 28, 2026Jing Jia, Sifan Liu, Guanyang WangDiffusion Sampling Few-Step Diffusion Sampling
Department of Computer Science, Rutgers University · Department of Statistical Science, Duke University · Department of Statistics, Rutgers University
Fill2SR: Repurposing Inpainting Diffusion Transformers for Real-World Super-Resolution
Sep 27, 2026Xingfu Yi, Xiaoxue YuDiffusion Models for Image Restoration Diffusion Transformer
Independent Researcher, Hangzhou, China · Zhejiang University, Hangzhou, China
PixelDiT2: Representation-Grounded Pixel Diffusion Transformers
Sep 21, 2026Yongsheng Yu, Wei Xiong, Yichen Sheng +2Diffusion Model Guidance Diffusion Transformer
NVIDIA · University of Rochester
Denoising Diffusion Generative Models Secretly Calculate Attentions
Sep 1, 2026Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3Attention Control in Diffusion Models Diffusion-Based Image Generation
School of Electrical Engineering, Iran University of Science & Technology, Tehran, IRAN · Independent researcher
Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization
Aug 18, 2026Travis Zhang, Christian Belardi, Justin Lovelace +4Diffusion Timestep Scheduling Few-Step Diffusion Sampling
Cornell University
DualStabSleepNet: A Dual-Domain Diffusion Stabilization Network for Robust Sleep Staging
Aug 17, 2026Chongjian Wang, Chen Liu, Junjie Gao +3Diffusion-Based Denoising Sleep Stage Classification
School of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China · School of Artificial Intelligence, Shandong Women’s University, Jinan, 250352, Shandong, China · School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510641, Guangdong, China
StyleComposer: Training-Free Multi-Reference Style Composition
Aug 5, 2026Sanghyeok Lee, Jihye Kang, Namhyuk AhnImage Style Transfer Compositional T2I Generation
Inha University
Rectify Then Diffuse: Disentangling Concepts Before Denoising Trajectory Unfolds
Aug 4, 2026Ning Zhu, An Chen, Mengfei Zhao +4T2I Generation Attention Control in Diffusion Models
Glasgow College, University of Electronic Science and Technology of China · School of Mathematical Sciences, University of Electronic Science and Technology of China
FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference
Jul 30, 2026Hanshuai Cui, Zhiqing Tang, Zhi Yao +3Diffusion-Based Image Generation Diffusion Model Caching
School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai 519087, China
FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
Jul 29, 2026Jindong Yang, Han Fang, Weiming Zhang +2Diffusion Models Diffusion Model Watermarking
University of Science and Technology of China · 2Anhui Province Key Laboratory of Digital Security
Noise-Free One-Step LoRA for Task-Driven Image Restoration with Diffusion Priors
Jul 28, 2026Jaeha Kim, Kyoung Mu LeeDiffusion Models for Image Restoration Low-Rank Adaptation
Dept. of ECE & ASRI, Seoul National University, Seoul, Korea · IPAI, Seoul National University, Seoul, Korea
ScaleResfusion: Residual Rectified Flow based on Residual Vector Field
Jul 28, 2026Zhenning Shi, Chen Xu, Junhao Zhang +4Diffusion Models for Image Restoration Rectified Flow
College of Computer Science, Nankai University, Tianjin, China · Faculty of Information Science and Computing, University of Macau, Macau, China · CSIRO Data61, Australia +1
Nuclear Quantum Effects as a Denoising Problem
Jul 22, 2026Weizhou Wang, Jonathan Weare, Aaron R. DinnerDiffusion-Based Denoising Quantum Chemistry
Department of Chemistry, University of Chicago, Chicago, Illinois 60637, USA · Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA · James Franck Institute, University of Chicago, Chicago, Illinois 60637, USA
When to Plan, When to Polish: Noise Level as a Granularity Axis for Diffusion Language Models
Jun 19, 2026Peihong Li, Yuanjie Shi, Yan YanLLM Planning Diffusion Language Model Decoding
Washington State University
Show the Signal, Hide the Noise: Spectral Forcing for Pixel-Space Diffusion
Jun 13, 2026Weichen Fan, Haiwen Diao, Penghao Wu +1Pixel-Space Diffusion Models Diffusion-Based Image Generation
1S-Lab, Nanyang Technological University
DuET: Dual Expert Trajectories for Diffusion Image Editing
Jun 11, 2026Lidia Troeshestova, Alexander Ustyuzhanin, Sergey KastryulinText-Guided Image Editing Diffusion-Based Image Editing
HSE University · Yandex
AsyncPatch Diffusion: spatially-flexible image generation
Jun 5, 2026Samuele Papa, Valentin De Bortoli, Guillaume Couairon +3Diffusion Model Guidance Image Generation
Google DeepMind · University of Amsterdam · The Netherlands Cancer Institute
Efficient and Training-Free Single-Image Diffusion Models
Jun 3, 2026Haojun Qiu, Kiriakos N. Kutulakos, David B. LindellImage Generation Diffusion-Based Image Generation
Department of Computer Science, University of Toronto · Vector Institute
DEMON: Diffusion Engine for Musical Orchestrated Noise
May 27, 2026Ryan FosdickDiffusion Models Controllable Music Generation
Daydream
Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization
May 22, 2026Matthew Niedoba, Berend Zwartsenberg, Frank WoodDiffusion-Based Denoising Diffusion-Based Image Generation
University of British Columbia · 2Inverted AI · 3Alberta Machine Intelligence Institute
Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
May 18, 2026Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar +1Few-Step Diffusion Sampling Diffusion Model Acceleration
University of Amsterdam · Microsoft Research, Cambridge
LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
May 8, 2026Haewon Jeon, Si-Hyeon LeeDiffusion Model Distillation Few-Step Diffusion Sampling
School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon, South Korea
SpecEdit: Training-Free Acceleration for Diffusion based Image Editing via Semantic Locking
May 4, 2026Zhengan Yan, Shikang Zheng, Haoran Qin +9Diffusion Sampling Diffusion-Based Image Editing
EPIC Lab , Shanghai Jiao Tong University · Shandong University · Alibaba Group +2
Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
Apr 21, 2026Johannes Schusterbauer, Ming Gui, Yusong Li +3Diffusion Model Sampling Diffusion Sampling
Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
Apr 11, 2026Hongkang Li, Hancheng Min, Rene VidalDiffusion Models Diffusion-Based Denoising
Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, USA · Institute of Natural Sciences & School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
Diffusion Denoiser Achievable Analysis for Finite Blocklength Unsourced Random Access
Apr 10, 2026Yuming Han, Yuxin LongDiffusion-Based Denoising Diffusion Models
Texas A&M University, Department of ECE, College Station, TX 77843, USA · University of Leeds, Institute for Transport Studies, Leeds, LS2 9JT, UK

Oct 15, 2026J/K move · Enter open · S save

ReState: Noise-Level-Aware State Correction for Training-Free Object Removal in Few-Step Diffusion Models

Donghwan Lee, Sanghyun Jo, Sihyun Kim, Ziseok Lee+1

Seoul National University · OGQ

Object Removal Diffusion-Based Image Editing Diffusion-Based Denoising Attention Control in Diffusion Models Few-Step Diffusion Sampling

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Training-free object removal commonly redirects self-attention away from the target region, but on few-step distilled diffusion models this often leaves object-shaped residuals. We identify a temporal mismatch: a structured prediction forms inside the mask at the first forward, and the short trajectory offers few later chances to revise it, while attention rerouting acts mainly in later steps. Across four distilled backbones, magnitude-matched single-forward interventions show that background-directed state correction affects the final result more than attention rerouting. We therefore propose ReState, which corrects the masked clean prediction toward background evidence retrieved from the input using a noise-level-aware weight that vanishes at the final forward. ReState retains object-excluding attention as a complementary constraint and adds no denoiser evaluations. Across two paired benchmarks and two few-step backbones, ReState achieves the best masked PSNR, SSIM, and LPIPS among training-free methods, improving PSNR by 3.17 dB on average over the strongest baseline. On OBER-Test, it also outperforms the 50-step attention-forcing reference on all three metrics at 6.7x lower latency. The same configuration transfers to two additional distilled backbones without retuning. Project page: https://tdrlee.github.io/ReState