:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Yang, Liu, Jiahua, Pang, Tongyao, Li, Wen, Liu, Zhaoqiang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.09477
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Image Restoration via Diffusion Models with Dynamic Resolution
by: Zheng, Yang, et al.
Published: (2026)

Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
by: Zheng, Yang, et al.
Published: (2025)

Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
by: Li, Shengming, et al.
Published: (2023)

Regularization by Texts for Latent Diffusion Inverse Solvers
by: Kim, Jeongsol, et al.
Published: (2023)

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

LANS: A Layout-Aware Neural Solver for Plane Geometry Problem
by: Li, Zhong-Zhi, et al.
Published: (2023)

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
by: Park, Jonghyun, et al.
Published: (2025)

InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models
by: Zheng, Yan, et al.
Published: (2024)

Accelerating Diffusion Sampling with Optimized Time Steps
by: Xue, Shuchen, et al.
Published: (2024)

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
by: Zhang, Bingliang, et al.
Published: (2024)

Bayesian Conditioned Diffusion Models for Inverse Problems
by: Güngör, Alper, et al.
Published: (2024)

A Survey on Diffusion Models for Inverse Problems
by: Daras, Giannis, et al.
Published: (2024)

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
by: Chen, Tianyu, et al.
Published: (2024)

Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining
by: Alçalar, Yaşar Utku, et al.
Published: (2025)

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis
by: Wei, Yongxian, et al.
Published: (2025)

Taming Outlier Tokens in Diffusion Transformers
by: Wu, Xiaoyu, et al.
Published: (2026)

Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
by: Hu, Jason, et al.
Published: (2024)

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
by: Daras, Giannis, et al.
Published: (2024)

Diffusion Posterior Sampling for General Noisy Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2022)

Diffusion State-Guided Projected Gradient for Inverse Problems
by: Zirvi, Rayhan, et al.
Published: (2024)

CIARD: Cyclic Iterative Adversarial Robustness Distillation
by: Lu, Liming, et al.
Published: (2025)

Dynamic View Synthesis as an Inverse Problem
by: Yesiltepe, Hidir, et al.
Published: (2025)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2023)

Solving Video Inverse Problems Using Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022)

Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
by: Yoon, Suhee, et al.
Published: (2024)

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
by: Zhou, Shijie, et al.
Published: (2024)

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
by: Aali, Asad, et al.
Published: (2024)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)

Dual Ascent Diffusion for Inverse Problems
by: Kim, Minseo, et al.
Published: (2025)

FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
by: Li, Zhaolun, et al.
Published: (2025)

Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
by: Dontas, Michail, et al.
Published: (2024)

Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations
by: Liu, Haoming, et al.
Published: (2023)

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
by: Yang, Nianzu, et al.
Published: (2025)

G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024)

HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
by: Liu, Jinfu, et al.
Published: (2024)

CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervision
by: Wang, Pengcheng, et al.
Published: (2026)

Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise
by: Geng, Zibin, et al.
Published: (2026)