Cover Image

Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Tong, Feng, Hansen, Wang, Lizhi, Xiong, Zhiwei, Huang, Hua
Format:	Preprint
Published:	2023
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

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency
by: Feng, Hansen, et al.
Published: (2025)

Rethinking Model Redundancy for Low-light Image Enhancement
by: Li, Tong, et al.
Published: (2024)

PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement
by: Li, Tong, et al.
Published: (2025)

Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
by: Li, Tong, et al.
Published: (2024)

Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoising
by: Feng, Hansen, et al.
Published: (2023)

Ensembling Diffusion Models via Adaptive Feature Aggregation
by: Wang, Cong, et al.
Published: (2024)

Physics-Inspired Degradation Models for Hyperspectral Image Fusion
by: Lian, Jie, et al.
Published: (2024)

Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
by: Wang, Yuchen, et al.
Published: (2024)

Diffusion-Promoted HDR Video Reconstruction
by: Guan, Yuanshen, et al.
Published: (2024)

Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
by: Huang, Yuanfei, et al.
Published: (2024)

Directly Denoising Diffusion Models
by: Zhang, Dan, et al.
Published: (2024)

Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
by: Hu, Zijing, et al.
Published: (2025)

Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
by: Cheng, Xinlong, et al.
Published: (2024)

Adaptive and Iterative Point Cloud Denoising with Score-Based Diffusion Model
by: Wang, Zhaonan, et al.
Published: (2025)

Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling
by: Li, Zida, et al.
Published: (2026)

A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
by: Li, Ziqiang, et al.
Published: (2025)

Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
by: Tian, Ye, et al.
Published: (2025)

Efficient Denoising using Score Embedding in Score-based Diffusion Models
by: Na, Andrew S., et al.
Published: (2024)

Feature Denoising Diffusion Model for Blind Image Quality Assessment
by: Li, Xudong, et al.
Published: (2024)

Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
by: Zhu, Lin, et al.
Published: (2024)

Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising
by: Chang, Gengjia, et al.
Published: (2026)

Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation
by: Lin, Ziyue, et al.
Published: (2026)

Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models
by: Wang, Jingjing, et al.
Published: (2024)

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
by: Tian, Changyao, et al.
Published: (2023)

FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
by: Ren, Yufan, et al.
Published: (2025)

Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
by: Pang, Ziqi, et al.
Published: (2025)

Uncovering the Text Embedding in Text-to-Image Diffusion Models
by: Yu, Hu, et al.
Published: (2024)

Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising
by: Huang, Tao, et al.
Published: (2024)

Denoising Diffusion Step-aware Models
by: Yang, Shuai, et al.
Published: (2023)

Blind Adaptive Local Denoising for CEST Imaging
by: Chen, Chu, et al.
Published: (2025)

Unsupervised Region-Based Image Editing of Denoising Diffusion Models
by: Li, Zixiang, et al.
Published: (2024)

qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model
by: Wang, Shishuai, et al.
Published: (2024)

Adaptive Denoising via GainTuning
by: Mohan, Sreyas, et al.
Published: (2021)

Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis
by: Krishna, Arjun, et al.
Published: (2024)

End4: End-to-end Denoising Diffusion for Diffusion-Based Inpainting Detection
by: Wang, Fei, et al.
Published: (2025)

DenoiseRep: Denoising Model for Representation Learning
by: Xu, Zhengrui, et al.
Published: (2024)

Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Models
by: Bach, Nguyen Gia, et al.
Published: (2024)

Efficient Adaptive Ensembling for Image Classification
by: Bruno, Antonio, et al.
Published: (2022)

Optimizing for the Shortest Path in Denoising Diffusion Model
by: Chen, Ping, et al.
Published: (2025)

Gait Recognition via Collaborating Discriminative and Generative Diffusion Models
by: Xiong, Haijun, et al.
Published: (2025)