Cover Image

Your Pre-trained Diffusion Model Secretly Knows Restoration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rajagopalan, Sudarshan, Patel, Vishal M.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2025)

AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning
by: Rajagopalan, Sudarshan, et al.
Published: (2024)

Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation
by: Rajagopalan, Sudarshan, et al.
Published: (2024)

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2024)

Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
by: Madani, Seyedehanita, et al.
Published: (2025)

Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
by: Jha, Saurav, et al.
Published: (2024)

Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
by: Park, Donwon, et al.
Published: (2024)

DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
by: Madani, Seyedehanita, et al.
Published: (2025)

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
by: Ifriqi, Tariq Berrada, et al.
Published: (2024)

Generative Pre-trained Autoregressive Diffusion Transformer
by: Zhang, Yuan, et al.
Published: (2025)

Latent Feature-Guided Diffusion Models for Shadow Removal
by: Mei, Kangfu, et al.
Published: (2023)

CGCE: Classifier-Guided Concept Erasure in Generative Models
by: Nguyen, Viet, et al.
Published: (2025)

Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
by: Chen, Yi-Chung, et al.
Published: (2025)

Three Things to Know about Deep Metric Learning
by: Patel, Yash, et al.
Published: (2024)

PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
by: Liu, Xinwei, et al.
Published: (2025)

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models
by: Dong, Zhe, et al.
Published: (2025)

Slight Corruption in Pre-training Data Makes Better Diffusion Models
by: Chen, Hao, et al.
Published: (2024)

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

Demographic User Modeling for Social Robotics with Multimodal Pre-trained Models
by: Rahimi, Hamed, et al.
Published: (2025)

Improving Pre-trained Segmentation Models using Post-Processing
by: Parida, Abhijeet, et al.
Published: (2025)

Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
by: Gu, Xin, et al.
Published: (2025)

Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
by: Miao, Yibo, et al.
Published: (2024)

Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
by: Lu, Feng, et al.
Published: (2024)

Do Pre-trained Vision-Language Models Encode Object States?
by: Newman, Kaleb, et al.
Published: (2024)

Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2024)

Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning
by: Safaei, Bardia, et al.
Published: (2025)

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
by: Xiao, Peng, et al.
Published: (2025)

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction
by: Zhang, Sai Qian, et al.
Published: (2024)

Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
by: Zhong, Jincheng, et al.
Published: (2025)

Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
by: Kim, Jihun, et al.
Published: (2024)

SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models
by: Tahboub, Hamza, et al.
Published: (2025)

QVD: Post-training Quantization for Video Diffusion Models
by: Tian, Shilong, et al.
Published: (2024)

Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
by: Kim, Kwanyoung, et al.
Published: (2025)

Dual Prompting Image Restoration with Diffusion Transformers
by: Kong, Dehong, et al.
Published: (2025)

Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
by: Balestriero, Randall, et al.
Published: (2025)

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
by: Wang, Ziyi, et al.
Published: (2025)

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
by: Tseng, Gabriel, et al.
Published: (2023)

An Empirical Study of Autoregressive Pre-training from Videos
by: Rajasegaran, Jathushan, et al.
Published: (2025)

Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models
by: Qi, Tao, et al.
Published: (2026)

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models
by: Lu, Tianyi, et al.
Published: (2023)