Unified Image Restoration

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
  3 Nov 2024 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  More crucially, we design the transport map for restoration as a two-pass DA-RCOT map, in which the transport residual is computed in the first pass and then encoded as multi-scale residual embeddings to condition the…
• Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
  15 Apr 2024 2 repositories listed Syntology ran 8 of 9 samples · 1 unverified
  Though diffusion models have been successfully applied to various image restoration (IR) tasks, their performance is sensitive to the choice of training datasets.
• LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
  1 Jul 2025 1 repository listed Syntology ran 3 of 8 samples · 5 unverified · 8 pointer-only (licence)
  Unified image restoration is a significantly challenging task in low-level vision.
• Boosting All-in-One Image Restoration via Self-Improved Privilege Learning
  30 May 2025 1 repository listed
  Unified image restoration models for diverse and mixed degradations often suffer from unstable optimization dynamics and inter-task conflicts.
• Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
  14 Apr 2025 1 repository listed
  All-in-one image restoration, addressing diverse degradation types with a unified model, presents significant challenges in designing task-specific prompts that effectively guide restoration across multiple degradation…
• Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
  19 Dec 2024 1 repository listed
  Image restoration and enhancement are pivotal for numerous computer vision applications, yet unifying these tasks efficiently remains a significant challenge.
• UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
  30 Sep 2024 1 repository listed
  Inspired by the success of deep generative models and fine-tuning techniques, we proposed a universal image restoration framework based on multiple low-rank adapters (LoRA) from multi-domain transfer learning.
• CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task
  22 Apr 2024 1 repository listed
  In real-world scenarios, images captured often suffer from blurring, noise, and other forms of image degradation, and due to sensor limitations, people usually can only obtain low dynamic range images.
• Neural Degradation Representation Learning for All-In-One Image Restoration
  19 Oct 2023 1 repository listed Syntology ran 5 of 6 samples · 1 unverified
  To this end, we propose to learn a neural degradation representation (NDR) that captures the underlying characteristics of various degradations.
• Controlling Vision-Language Models for Multi-Task Image Restoration
  2 Oct 2023 1 repository listed Syntology ran 8 of 9 samples · 1 unverified
  In this paper, we present a degradation-aware vision-language model (DA-CLIP) to better transfer pretrained vision-language models to low-level vision tasks as a multi-task framework for image restoration.
• ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
  23 Jun 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We then leverage degradation-aware visual prompts to establish a controllable and universal model for image restoration, called ProRes, which is applicable to an extensive range of image restoration tasks.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.