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23 articles

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May 6, 2026 · Artificial Intelligence

ICLR 2026: How LiveMoments Restores Live Photo Cover Frames Without Blur

The paper "LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference‑guided Diffusion" introduces a new task and a diffusion‑based method that uses the original high‑resolution cover frame to dramatically improve the visual quality of reselection cover frames in Live Photos, outperforming existing reference‑super‑resolution and single‑frame approaches.

ICLR 2026Image RestorationLive Photo

0 likes · 8 min read

ICLR 2026: How LiveMoments Restores Live Photo Cover Frames Without Blur

AIWalker

Apr 10, 2026 · Artificial Intelligence

How RealRestorer Bridges the Gap in Real‑World Image Restoration

RealRestorer leverages large‑scale image‑editing models, a hybrid synthetic‑and‑real degradation pipeline, and a two‑stage training strategy to deliver state‑of‑the‑art open‑source restoration that generalizes across nine real‑world degradation types while preserving content consistency.

BenchmarkComputer VisionDeep Learning

0 likes · 13 min read

How RealRestorer Bridges the Gap in Real‑World Image Restoration

AIWalker

Apr 6, 2026 · Artificial Intelligence

BIPNet: Adaptive Progressive Upsampling Drives a Leap in Burst Image Restoration (TPAMI 2025)

The TPAMI 2025 paper introduces BIPNet, a unified burst‑image framework that tackles alignment, fusion, and upsampling challenges with edge‑enhanced alignment, pseudo‑burst feature fusion, and adaptive group upsampling, achieving state‑of‑the‑art results across super‑resolution, low‑light enhancement, and denoising while offering lightweight mobile variants.

BIPNetBurst Image ProcessingComputer Vision

0 likes · 13 min read

BIPNet: Adaptive Progressive Upsampling Drives a Leap in Burst Image Restoration (TPAMI 2025)

AIWalker

Apr 6, 2026 · Artificial Intelligence

How TIR‑Agent Turns Image‑Restoration Tools into a Learnable Decision‑Making Agent

The paper introduces TIR‑Agent, an image‑restoration agent that learns a tool‑calling policy via supervised fine‑tuning and reinforcement learning, addressing exploration stagnation and multi‑objective reward imbalance, and demonstrates over 2.5× faster inference and superior multi‑metric performance on synthetic and real degradation datasets.

Computer VisionImage Restorationagent-based AI

0 likes · 18 min read

How TIR‑Agent Turns Image‑Restoration Tools into a Learnable Decision‑Making Agent

vivo Internet Technology

Mar 18, 2026 · Artificial Intelligence

How Ada-RefSR Eliminates Hallucinations in Single‑Step Diffusion Super‑Resolution

This article presents Ada-RefSR, a novel single‑step diffusion‑based reference super‑resolution framework that introduces a "Trust but Verify" paradigm, adaptive implicit correlation gating, and lightweight architecture to robustly suppress hallucinations and achieve state‑of‑the‑art performance on multiple benchmarks, while being suitable for mobile deployment.

Ada-RefSRICLR2026Image Restoration

0 likes · 10 min read

How Ada-RefSR Eliminates Hallucinations in Single‑Step Diffusion Super‑Resolution

PaperAgent

Dec 21, 2025 · Artificial Intelligence

Can a Text‑to‑Image Model Replace Traditional Vision Tools? Nano Banana Pro Zero‑Shot Test

This article evaluates the Nano Banana Pro text‑to‑image model, built on Gemini 3 Pro, across fourteen low‑level vision tasks and forty datasets using only prompts without fine‑tuning, revealing strong perceptual quality but weak pixel‑level metrics, and highlighting both its generative strengths and failure modes such as hallucinations and color shifts.

AI model analysisImage Restorationlow-level vision

0 likes · 7 min read

Can a Text‑to‑Image Model Replace Traditional Vision Tools? Nano Banana Pro Zero‑Shot Test

Data Party THU

Oct 28, 2025 · Artificial Intelligence

How AI is Reviving Dunhuang Murals: From 3D Scans to Digital Restoration

This article examines the cutting‑edge AI techniques—multimodal fusion, deep‑learning disease detection, reversible repair, diffusion‑Transformer models, GAN‑based pattern generation, and AR navigation—that enable millimetre‑level digital restoration and cultural democratization of the Dunhuang murals.

AIARCultural Heritage

0 likes · 14 min read

How AI is Reviving Dunhuang Murals: From 3D Scans to Digital Restoration

Amap Tech

Jul 9, 2025 · Artificial Intelligence

VMBench: Perception-Aligned Motion Benchmark & LD‑RPS Zero‑Shot Restoration

This article introduces VMBench, the first perception‑aligned video motion generation benchmark that defines a five‑dimensional metric suite and a meta‑guided prompt generation pipeline, and presents LD‑RPS, a zero‑shot unified image restoration framework based on latent diffusion recurrent posterior sampling, together with extensive experiments validating both systems.

BenchmarkImage RestorationVideo Generation

0 likes · 14 min read

VMBench: Perception-Aligned Motion Benchmark & LD‑RPS Zero‑Shot Restoration

Amap Tech

Jul 9, 2025 · Artificial Intelligence

Bridging Human Perception and Video Motion Generation: VMBench & LD‑RPS

This article introduces VMBench, a perception‑aligned video motion generation benchmark with a five‑dimensional metric suite and meta‑guided prompt generation, and LD‑RPS, a zero‑shot unified image restoration framework using latent diffusion and recurrent posterior sampling, detailing their motivations, innovations, experiments, and future directions.

AI researchImage RestorationVideo Generation

0 likes · 14 min read

Bridging Human Perception and Video Motion Generation: VMBench & LD‑RPS

AI Frontier Lectures

Jun 7, 2025 · Artificial Intelligence

Can MaIR’s Locality‑Preserving Mamba Boost Image Restoration?

The article presents MaIR, a locality‑ and continuity‑preserving Mamba‑based model for image restoration, detailing its three‑stage architecture, novel scanning strategy, loss functions, experimental results on super‑resolution and denoising, and ablation studies, with links to the arXiv paper and source code.

Computer VisionDenoisingImage Restoration

0 likes · 5 min read

Can MaIR’s Locality‑Preserving Mamba Boost Image Restoration?

AI Frontier Lectures

Jun 3, 2025 · Artificial Intelligence

How MaIR Advances Image Restoration with a Locality‑Preserving Mamba Architecture

The article presents MaIR, a Mamba‑based image restoration model that preserves locality and continuity, detailing its architecture, scanning strategies, loss functions, experimental results on super‑resolution and denoising, and an ablation study, while providing links to the arXiv paper and GitHub source code.

Computer VisionDenoisingImage Restoration

0 likes · 5 min read

How MaIR Advances Image Restoration with a Locality‑Preserving Mamba Architecture

AI Frontier Lectures

Apr 13, 2025 · Artificial Intelligence

How HINT’s Hierarchical Multi‑Head Attention Boosts Image Restoration Quality

The paper introduces HINT, a Transformer‑based image restoration model that employs Hierarchical Multi‑Head Attention (HMHA) and a Query‑Key Cache Updating (QKCU) module to eliminate attention redundancy, achieving superior PSNR/SSIM scores across low‑light enhancement, dehazing, desnowing, denoising, and deraining tasks while maintaining low model complexity.

Computer VisionHierarchical AttentionImage Restoration

0 likes · 10 min read

How HINT’s Hierarchical Multi‑Head Attention Boosts Image Restoration Quality

AIWalker

Apr 8, 2025 · Artificial Intelligence

AgenticIR: An Agentic System for Restoring Images with Complex Degradations

AgenticIR combines visual language models and large language models in a multi‑stage reasoning workflow—perception, planning, execution, reflection, and adjustment—to evaluate, plan, and iteratively apply specialized restoration tools, achieving superior results on complexly degraded images compared to baseline methods.

ICLR 2025Image RestorationVision-Language Models

0 likes · 15 min read

AgenticIR: An Agentic System for Restoring Images with Complex Degradations

AI Frontier Lectures

Mar 24, 2025 · Artificial Intelligence

How MambaIRv2 Boosts Image Restoration with Attentive State‑Space Design

Introducing MambaIRv2, an image restoration backbone that replaces Mamba’s causal scanning with an attentive state‑space module, achieving single‑direction scanning, reduced parameters and computation, and superior performance on lightweight and classic super‑resolution, JPEG artifact removal, and denoising tasks, as validated by CVPR‑2025 results.

Computer VisionImage RestorationMambaIRv2

0 likes · 8 min read

How MambaIRv2 Boosts Image Restoration with Attentive State‑Space Design

AIWalker

Mar 3, 2025 · Artificial Intelligence

ByteDance’s Diffusion Restoration Adapter Achieves State‑of‑the‑Art Real‑World Image Recovery

This paper introduces a lightweight Diffusion Restoration Adapter that integrates into pre‑trained diffusion priors such as StableDiffusion XL and StableDiffusion 3, dramatically reduces parameter overhead compared with ControNet, and delivers superior quantitative and visual results on real‑world image restoration benchmarks through a novel sampling strategy.

AIAdapterImage Restoration

0 likes · 17 min read

ByteDance’s Diffusion Restoration Adapter Achieves State‑of‑the‑Art Real‑World Image Recovery

AIWalker

Feb 6, 2025 · Artificial Intelligence

FluxSR: The First 12B‑Parameter Single‑Step Diffusion Model for Real‑World Super‑Resolution

FluxSR introduces a novel single‑step diffusion approach for real‑world image super‑resolution built on the 12‑billion‑parameter FLUX.1‑dev model, employing Flow‑Trajectory Distillation, TV‑LPIPS and attention‑diversity losses to achieve high fidelity, reduced artifacts, and lower memory and compute costs.

Flow DistillationImage Restorationdiffusion

0 likes · 16 min read

FluxSR: The First 12B‑Parameter Single‑Step Diffusion Model for Real‑World Super‑Resolution

Kuaishou Tech

Jan 17, 2025 · Artificial Intelligence

Kuaishou Achieves 7 Papers Accepted at AAAI 2025

Kuaishou has achieved a significant milestone with 7 papers accepted at AAAI 2025, covering diverse AI research areas including video processing, recommendation systems, and image restoration, demonstrating the company's strong research capabilities in artificial intelligence.

AAAI 2025Image RestorationKuaishou

0 likes · 10 min read

Kuaishou Achieves 7 Papers Accepted at AAAI 2025

Model Perspective

Jun 17, 2024 · Artificial Intelligence

Can Diffusion Equations Restore Damaged Paintings? A Practical Guide

This article explains how diffusion equation methods can be applied to digitally repair spotted paintings, covering the mathematical representation of images, the underlying heat‑transfer analogy, step‑by‑step inpainting procedures, and improvements such as total variation flow to preserve edges.

Computer VisionImage Restorationdiffusion equation

0 likes · 4 min read

Can Diffusion Equations Restore Damaged Paintings? A Practical Guide

Xiaohongshu Tech REDtech

Jun 17, 2024 · Artificial Intelligence

Xiaohongshu Audio-Video Architecture Team Wins Top Awards in CVPR NTIRE 2024 Challenges

Xiaohongshu’s audio‑video architecture team secured second place in the RAIM challenge and first in the S‑UGC VQA challenge at CVPR NTIRE 2024 by improving generative image restoration with SUPIR, DeSRA and a Fusion model, and enhancing video quality assessment using LIQE, Q‑Align and FAST‑VQA, then deploying these methods for live‑stream denoising, intelligent transcoding and cloud‑based super‑resolution, achieving high PLCC/SROCC scores and up to 33 % bandwidth savings.

AICVPR NTIRE 2024Deep Learning

0 likes · 25 min read

Xiaohongshu Audio-Video Architecture Team Wins Top Awards in CVPR NTIRE 2024 Challenges

Alibaba Cloud Big Data AI Platform

Oct 7, 2023 · Artificial Intelligence

How Alibaba Cloud’s New Transformers and Model Fingerprinting Are Shaping ICCV 2023

Alibaba Cloud’s PAI platform showcased three breakthrough papers at ICCV 2023—including the Scale‑Aware Modulation Transformer for efficient vision backbones, the Stable‑DINO detection transformer with improved matching, and a non‑invasive fingerprinting method for deep image‑restoration models—highlighting its growing impact in AI research.

Image RestorationModel FingerprintingTransformer

0 likes · 10 min read

How Alibaba Cloud’s New Transformers and Model Fingerprinting Are Shaping ICCV 2023

Bilibili Tech

Jan 28, 2022 · Artificial Intelligence

Real-CUGAN: An Open‑Source AI Super‑Resolution Model for Anime Video Upscaling

Real‑CUGAN is an open‑source AI super‑resolution model that upscales anime video up to 4× using a million‑patch, frequency‑domain‑supervised dataset, delivering faster inference than Real‑ESRGAN, seamless Waifu2x compatibility, and superior texture, line and artifact handling, with code released on GitHub.

AI super-resolutionDeep LearningImage Restoration

0 likes · 8 min read

Real-CUGAN: An Open‑Source AI Super‑Resolution Model for Anime Video Upscaling

Kuaishou Large Model

Dec 10, 2021 · Artificial Intelligence

How AI Restores Blurry Faces: Inside Kuaishou’s Y‑Tech High‑Definition Portrait Project

Image clarity impacts daily life, from personal memories to security, and Kuaishou’s Y‑Tech team tackles degradation by constructing paired low‑high quality datasets and a style‑based AI model that leverages facial masks to restore high‑definition portraits, preserving identity while enhancing detail.

AIComputer VisionDeep Learning

0 likes · 10 min read

How AI Restores Blurry Faces: Inside Kuaishou’s Y‑Tech High‑Definition Portrait Project

Kuaishou Tech

Jul 23, 2021 · Artificial Intelligence

Real-time Single-image 3D Photo Generation on Mobile Devices Using Deep Learning

The article presents a mobile‑first solution that converts a single RGB photograph into an interactive 3D photo by combining learning‑based monocular depth estimation, multi‑task image‑and‑depth restoration, face‑specific refinement, and a custom KwaiNN inference engine to achieve real‑time rendering on all smartphone models without requiring depth sensors.

3D PhotoARImage Restoration

0 likes · 16 min read

Real-time Single-image 3D Photo Generation on Mobile Devices Using Deep Learning