Cover Image

Equivariant Sampling for Improving Diffusion Model-based Image Restoration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Chenxu, Kong, Qingpeng, Zhao, Peiang, Yang, Wendi, Ma, Wenxin, Tang, Fenghe, Jiang, Zihang, Zhou, S. Kevin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
by: Wu, Chenxu, et al.
Published: (2025)

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025)

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
by: Tang, Fenghe, et al.
Published: (2025)

AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
by: Ma, Wenxin, et al.
Published: (2025)

Concept-to-Pixel: Prompt-Free Universal Medical Image Segmentation
by: Chen, Haoyun, et al.
Published: (2026)

U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
by: Tang, Fenghe, et al.
Published: (2025)

PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery
by: Yang, Wendi, et al.
Published: (2024)

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
by: Ye, Hongbo, et al.
Published: (2025)

LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis
by: Zhao, Peiang, et al.
Published: (2023)

MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
by: Tang, Fenghe, et al.
Published: (2024)

UCAD: Uncertainty-guided Contour-aware Displacement for semi-supervised medical image segmentation
by: Ding, Chengbo, et al.
Published: (2026)

Towards Accurate Unified Anomaly Segmentation
by: Ma, Wenxin, et al.
Published: (2025)

ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training
by: Wang, Rongsheng, et al.
Published: (2026)

MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom
by: Li, Yifan, et al.
Published: (2025)

Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025)

Slide-SAM: Medical SAM Meets Sliding Window
by: Quan, Quan, et al.
Published: (2023)

APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
by: Xu, Zikang, et al.
Published: (2024)

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
by: Liu, Zihang, et al.
Published: (2025)

Diffusion Posterior Proximal Sampling for Image Restoration
by: Wu, Hongjie, et al.
Published: (2024)

DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
by: Wang, Hebaixu, et al.
Published: (2025)

Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
by: Zhou, Yifan, et al.
Published: (2025)

A Regularization-Guided Equivariant Approach for Image Restoration
by: Bai, Yulu, et al.
Published: (2025)

Equivariant Denoisers for Image Restoration
by: Renaud, Marien, et al.
Published: (2024)

LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion
by: Dong, Chengqi, et al.
Published: (2025)

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
by: Wang, Rongsheng, et al.
Published: (2025)

InstructRestore: Region-Customized Image Restoration with Human Instructions
by: Liu, Shuaizheng, et al.
Published: (2025)

Boosting All-in-One Image Restoration via Self-Improved Privilege Learning
by: Wu, Gang, et al.
Published: (2025)

Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer
by: Yang, Zhuoyi, et al.
Published: (2024)

Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging
by: Yang, Jing, et al.
Published: (2024)

Enhancing Image Restoration Transformer via Adaptive Translation Equivariance
by: Hu, JiaKui, et al.
Published: (2025)

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution
by: Nian, Bingkun, et al.
Published: (2023)

SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation
by: Chai, Shang, et al.
Published: (2025)

Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models
by: Xiao, Jun, et al.
Published: (2024)

Histomorphology-Guided Prototypical Multi-Instance Learning for Breast Cancer WSI Classification
by: Wang, Baizhi, et al.
Published: (2025)

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
by: Tang, Fenghe, et al.
Published: (2022)

MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
by: Li, Boyun, et al.
Published: (2024)

DSwinIR: Rethinking Window-based Attention for Image Restoration
by: Wu, Gang, et al.
Published: (2025)

Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
by: Zhou, Zhenyu, et al.
Published: (2026)

ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration
by: Zhang, Leheng, et al.
Published: (2026)

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
by: Zhang, Yuhong, et al.
Published: (2024)