GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Fuente:
arXiv
Saved in:
| Main Authors: | Rajagopalan, Sudarshan, Nair, Nithin Gopalakrishnan, Paranjape, Jay N., Patel, Vishal M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| 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)
by: Rajagopalan, Sudarshan, et al.
Published: (2025)
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning
by: Rajagopalan, Sudarshan, et al.
Published: (2024)
by: Rajagopalan, Sudarshan, et al.
Published: (2024)
Dreamguider: Improved Training free Diffusion-based Conditional Generation
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)
Your Pre-trained Diffusion Model Secretly Knows Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2026)
by: Rajagopalan, Sudarshan, et al.
Published: (2026)
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation
by: Rajagopalan, Sudarshan, et al.
Published: (2024)
by: Rajagopalan, Sudarshan, et al.
Published: (2024)
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)
Scale-Wise VAR is Secretly Discrete Diffusion
by: Kumar, Amandeep, et al.
Published: (2025)
by: Kumar, Amandeep, et al.
Published: (2025)
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2022)
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2022)
$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion Models
by: Ranasinghe, Yasiru, et al.
Published: (2023)
by: Ranasinghe, Yasiru, et al.
Published: (2023)
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)
by: Paranjape, Jay N., et al.
Published: (2024)
A Mamba-based Siamese Network for Remote Sensing Change Detection
by: Paranjape, Jay N., et al.
Published: (2024)
by: Paranjape, Jay N., et al.
Published: (2024)
Blackbox Adaptation for Medical Image Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)
by: Paranjape, Jay N., et al.
Published: (2024)
Scaling Transformer-Based Novel View Synthesis Models with Token Disentanglement and Synthetic Data
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2025)
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2025)
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition
by: Narayan, Kartik, et al.
Published: (2024)
by: Narayan, Kartik, et al.
Published: (2024)
F-ViTA: Foundation Model Guided Visible to Thermal Translation
by: Paranjape, Jay N., et al.
Published: (2025)
by: Paranjape, Jay N., et al.
Published: (2025)
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
by: Mao, Jiawei, et al.
Published: (2024)
by: Mao, Jiawei, et al.
Published: (2024)
Federated Black-Box Adaptation for Semantic Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)
by: Paranjape, Jay N., et al.
Published: (2024)
Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception
by: Thushara, Rusiru, et al.
Published: (2026)
by: Thushara, Rusiru, et al.
Published: (2026)
Neural Degradation Representation Learning for All-In-One Image Restoration
by: Yao, Mingde, et al.
Published: (2023)
by: Yao, Mingde, et al.
Published: (2023)
Dynamic Degradation Decomposition Network for All-in-One Image Restoration
by: Wang, Huiqiang, et al.
Published: (2025)
by: Wang, Huiqiang, et al.
Published: (2025)
Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration
by: Tang, Ni, et al.
Published: (2025)
by: Tang, Ni, et al.
Published: (2025)
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
by: Tu, Luwei, et al.
Published: (2026)
by: Tu, Luwei, et al.
Published: (2026)
UniRes: Universal Image Restoration for Complex Degradations
by: Zhou, Mo, et al.
Published: (2025)
by: Zhou, Mo, et al.
Published: (2025)
Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
by: Luo, Wenyang, et al.
Published: (2025)
by: Luo, Wenyang, et al.
Published: (2025)
Referring Change Detection in Remote Sensing Imagery
by: Korkmaz, Yilmaz, et al.
Published: (2025)
by: Korkmaz, Yilmaz, et al.
Published: (2025)
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2023)
by: Ai, Yuang, et al.
Published: (2023)
From Physical Degradation Models to Task-Aware All-in-One Image Restoration
by: Gao, Hu, et al.
Published: (2026)
by: Gao, Hu, et al.
Published: (2026)
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
by: Wu, Gang, et al.
Published: (2025)
by: Wu, Gang, et al.
Published: (2025)
Degradation-Aware All-in-One Image Restoration via Latent Prior Encoding
by: Sharif, S M A, et al.
Published: (2025)
by: Sharif, S M A, et al.
Published: (2025)
SINR: Sparsity Driven Compressed Implicit Neural Representations
by: Jayasundara, Dhananjaya, et al.
Published: (2025)
by: Jayasundara, Dhananjaya, et al.
Published: (2025)
DegBins: Degradation-Driven Binning for Depth Super-Resolution
by: Yan, Zhiqiang, et al.
Published: (2026)
by: Yan, Zhiqiang, et al.
Published: (2026)
Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration
by: Huang, Xinghua, et al.
Published: (2026)
by: Huang, Xinghua, et al.
Published: (2026)
One Latent Space to Rule All Degradations: Unifying Restoration Knowledge for Image Fusion
by: Ma, Haolong, et al.
Published: (2025)
by: Ma, Haolong, et al.
Published: (2025)
HAIR: Hypernetworks-based All-in-One Image Restoration
by: Cao, Jin, et al.
Published: (2024)
by: Cao, Jin, et al.
Published: (2024)
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
by: Jiang, Yitong, et al.
Published: (2023)
by: Jiang, Yitong, et al.
Published: (2023)
All-in-One Image Compression and Restoration
by: Zeng, Huimin, et al.
Published: (2025)
by: Zeng, Huimin, et al.
Published: (2025)
DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration
by: Xiong, Jiamei, et al.
Published: (2025)
by: Xiong, Jiamei, et al.
Published: (2025)
Prompt-based Ingredient-Oriented All-in-One Image Restoration
by: Gao, Hu, et al.
Published: (2023)
by: Gao, Hu, et al.
Published: (2023)
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) -
Dreamguider: Improved Training free Diffusion-based Conditional Generation
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024) -
Your Pre-trained Diffusion Model Secretly Knows Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2026) -
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation
by: Rajagopalan, Sudarshan, et al.
Published: (2024)