Diffusion Model Inversion

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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Backward SDEs-based Diffusion for Physics-Constrained Generation
Sep 14, 2026Zihao WangDiffusion Model Inversion Constrained Generative Modeling
RAIN: Region-Aware Inversion Network for Semantic Watermark Extraction
Sep 14, 2026Zilai LiDiffusion Model Inversion Diffusion Model Watermarking
Independent Researcher
Dual Inversion for Text-to-Image Diffusion Models: From Both Prompt and Noise Perspectives
Jul 29, 2026Xiaolong Liu, Junjian Li, Yuan Xiao +4Diffusion Model Inversion Diffusion-Based Inverse Problems
Geely Hangzhou, China · City University of Macau Macau, China
FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
Jul 29, 2026Jindong Yang, Han Fang, Weiming Zhang +2Diffusion Model Inversion Diffusion Model Watermarking
University of Science and Technology of China · 2Anhui Province Key Laboratory of Digital Security
SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion
Jul 23, 2026Wenbin Duan, Yan Shu, Zhuoyuan Fu +4Diffusion Model Inversion Rectified Flow
University of International Relations, Beijing, China · University of Trento, Trento, Italy · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.
FlowSonic: Stable Zero-Shot Music Editing via High-Order Trajectory Integration
Jul 20, 2026Ali Boudaghi, Hadi ZareDiffusion Model Inversion Diffusion Transformer
Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion
Jul 8, 2026Yongseong Park, Joeun Kim, HoEun Kim +1Diffusion Model Inversion Diffusion-Based Inverse Problems
Department of EECS DGIST Daegu, Republic of Korea · Department of AI DGIST Daegu, Republic of Korea
Recovering Cloud Microstructures with Cascaded Diffusion Inversion
Jul 6, 2026Hanan Gani, Guy Pulik, Daniel Rosenfeld +2Diffusion Model Inversion Diffusion Models for Image Restoration
Mohamed Bin Zayed University of Artificial Intelligence · University of California, San Diego · Hebrew University of Jerusalem
When Does High-CFG Diffusion Inversion Fail? A Controlled Study of Prompt--Latent Interactions
Jul 6, 2026Yan Zeng, Yusuke Hosoya, Huyen T. T. Tran +1Diffusion Model Inversion Classifier-Free Guidance
GSIS Tohoku University Sendai, Japan · RIKEN AIP JAPAN
Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory Straightness
Jun 16, 2026Semin Kim, Jihwan Yoon, Seunghoon HongDiffusion Model Inversion Rectified Flow
KAIST
ResEdit: Residual embeddings for precise generative image editing
Jun 15, 2026Ahmet Canberk Baykal, Valentin Deschaintre, Yannick Hold-Geoffroy +4Diffusion Model Inversion Image Relighting
Adobe Research · University of Cambridge
Timestep Rescheduling in Diffusion Inversion
Jun 13, 2026Shangquan Sun, Ting Gong, Zhirui Liu +5Diffusion Model Inversion Diffusion Sampling
School of CyberScience and Technology, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, China · Tsinghua University · CUHK +2
Conditioning Matters: Stabilizing Inversion and Attention in Diffusion Image Editing
Jun 12, 2026Zheyuan Zhan, Hongchen Li, Can Wang +6Diffusion Model Inversion Text-Guided Image Editing
State Key Laboratory of Blockchain and Data Security, Zhejiang University · HangZhou High-Tech Zong (Binjiang) Institute of Blockchain and Data Security · College of Computer Science, Zhejiang University +1
On the Controllability-Fidelity Frontier in Diffusion Editing
Jun 5, 2026Yi Hu, Leying Yi, Emily Davis +1Diffusion Model Inversion Diffusion Model Guidance
Xidian University
Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing
Jun 5, 2026Xiaocheng Lu, Jingcai Guo, Song GuoDiffusion Model Inversion Diffusion Model Guidance
Hong Kong University of Science and Technology, Hong Kong SAR, China · The Hong Kong Polytechnic University, Hong Kong SAR, China
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method
Jun 2, 2026Yan Zeng, Masanori Suganuma, Takayuki OkataniDiffusion Model Inversion Diffusion Sampling
Graduate School of Information Sciences, Tohoku University · RIKEN Center for AIP
Training-free image inversion for one-step diffusion models
May 31, 2026Tao Wu, Senmao Li, Yaxing Wang +3Diffusion Model Inversion Text-Guided Image Editing
Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, 08193, Spain · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates · Jilin University, 130012, Changchun, Jilin, China +3
Unbiased Diffusion Variational Inversion via Principled Posterior Matching
May 24, 2026Weimin Bai, Yuxuan Gu, Yifei Wang +2Diffusion Model Inversion Bayesian Inverse Problems
Peking University
Stable and Near-Reversible Diffusion ODE Solvers for Image Editing
May 12, 2026Barbora Barancikova, Daniil Shmelev, Cristopher SalviDiffusion Model Inversion Text-Guided Image Editing
Department of Computing, Imperial College London, London, United Kingdom · Department of Mathematics, Imperial College London, London, United Kingdom
PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
May 10, 2026Minh Quoc Duong, Chun Tong Lei, Chun Pong LauDiffusion Model Inversion Diffusion Model Watermarking
City University of Hong Kong
ResetEdit: Precise Text-guided Editing of Generated Image via Resettable Starting Latent
Apr 28, 2026Hanyi Wang, Han Fang, Zheng Wang +2Diffusion Model Inversion Text-Guided Image Editing
Shanghai Jiao Tong University China · University of Science and Technology of China China · Wuhan University China +1
Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution
Apr 27, 2026Shyang-En Weng, Yi-Cheng Liao, Yu-Syuan Xu +2Diffusion Model Inversion Diffusion Models for Image Restoration
National Yang Ming Chiao Tung University, Hsinchu, Taiwan · MediaTek Inc., Taiwan
SONIC: Spectral Optimization of Noise for Inpainting with Consistency
Nov 25, 2025Seungyeon Baek, Erqun Dong, Shadan Namazifard +2Diffusion Model Inversion Image Inpainting
University of British Columbia, Canada · Google DeepMind, USA

Sep 14, 2026, cs.LGJ/K move · Enter open · S save

Backward SDEs-based Diffusion for Physics-Constrained Generation

Zihao Wang

Diffusion Model Inversion Constrained Generative Modeling Stochastic Differential Equations Diffusion-Based Inverse Problems Image Inverse Problems

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Pretrained score-based diffusion models provide strong unconditional priors, yet enforcing measurement or physics consistency in inverse problems is often handled by heuristic guidance, intermittent projections, or task-specific conditional training, with limited guarantees of feasibility at the end of inference. We propose terminal-conditioned inversion for score-based SDE priors. Given a frozen Score-SDE prior and a task-defined terminal feasibility specification, we construct an associated backward stochastic differential equation whose adapted solution defines a principled inverse map from the terminal requirement to a prior state at a chosen noise level. Under standard regularity conditions, we establish existence and uniqueness of the adapted solution and obtain terminal consistency by construction. We further develop a practical neural BSDE solver that composes arbitrary pretrained diffusion priors with domain constraints without modifying the score-defined coefficients, producing an anchored prior state that enables neighborhood sampling for uncertainty characterization. Experiments on toy datasets validate stable terminal-conditioned inversion and distributionally consistent neighborhood sampling. As a real-world case study, we apply the framework to sparse-view CT reconstruction and achieve improved reconstruction quality over representative training-free baselines while satisfying strict measurement feasibility under the prescribed terminal specification. Project is available in: https://laplace.center/icmlbsdeI/

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