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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)

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

Ops Development & AI Practice

Jul 8, 2024 · Artificial Intelligence

Essential Denoising Techniques for Training Large AI Models

This article outlines key denoising methods—including data cleaning, augmentation, regularization, adversarial training, and self‑supervised learning—that improve the performance, generalization, and robustness of large neural network and transformer models.

DenoisingRegularizationadversarial training

0 likes · 5 min read

Essential Denoising Techniques for Training Large AI Models

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

Kuaishou Tech

Mar 8, 2024 · Artificial Intelligence

Three Selected Papers from WSDM 2024 on Recommendation Systems

This article highlights three oral papers accepted at WSDM 2024 that address cross‑domain sequential recommendation, extremely sparse feedback denoising recommendation, and automated label crafting for short‑video recommendation, providing their abstracts, author lists, and links to PDFs and source code.

AIDenoisingWSDM2024

0 likes · 7 min read

Three Selected Papers from WSDM 2024 on Recommendation Systems

Youku Technology

Jun 1, 2022 · Artificial Intelligence

AI-Powered Restoration of Classic Animation Videos Using Deep Learning

Youku’s Digital Media Lab built an AI‑powered restoration pipeline that uses multi‑frame super‑resolution, denoising, deblocking, deblurring and GAN‑based detail generation to automatically revive classic animated films, removing noise and artifacts while preserving fine lines, enabling high‑definition viewing for modern audiences.

AIDenoisinganimation

0 likes · 8 min read

AI-Powered Restoration of Classic Animation Videos Using Deep Learning

Python Programming Learning Circle

Feb 28, 2022 · Artificial Intelligence

Time Series Data Preprocessing: Missing Value Imputation, Denoising, and Outlier Detection

This article explains essential time series preprocessing techniques—including data sorting, handling missing values with interpolation methods, applying rolling averages, Fourier transform denoising, and detecting anomalies using rolling statistics, isolation forests, and K‑means clustering—illustrated with Python code on the AirPassengers and Google stock datasets.

DenoisingPythonTime Series

0 likes · 9 min read

Time Series Data Preprocessing: Missing Value Imputation, Denoising, and Outlier Detection

Kuaishou Tech

Oct 12, 2021 · Artificial Intelligence

Concept‑aware Denoising Graph Neural Network (CONDE) for Short Video Recommendation

CONDE, a concept‑aware denoising graph neural network proposed by Wuhan University and Kuaishou, leverages heterogeneous three‑part graphs, attention‑based graph convolutions, and Gumbel‑Softmax‑driven edge sampling to filter noisy user‑video interactions, achieving up to 6 % AUC improvement on short‑video and e‑commerce recommendation tasks.

AIDenoisingGraph Neural Network

0 likes · 10 min read

Concept‑aware Denoising Graph Neural Network (CONDE) for Short Video Recommendation

iQIYI Technical Product Team

Apr 19, 2019 · Artificial Intelligence

iQIYI ZoomAI Video Enhancement Technology: Applications and Technical Details

Jiang Zidong explains iQIYI's ZoomAI video enhancement tech, covering super‑resolution, denoising/sharpening, color correction, scratch removal, and frame interpolation, and its modular deployment across business lines for restoring classic content and boosting low‑resolution media, achieving massive efficiency gains.

AIDenoisingZoomAI

0 likes · 29 min read

iQIYI ZoomAI Video Enhancement Technology: Applications and Technical Details

iQIYI Technical Product Team

Sep 7, 2018 · Artificial Intelligence

How ZoomAI Uses AI to Super‑Resolve and Enhance Low‑Quality Videos

ZoomAI is an AI‑driven video enhancement platform that combines modular super‑resolution, denoising, sharpening, color correction, and scratch removal techniques, offering both cloud and mobile SDK solutions for restoring old footage, improving streaming content, and boosting visual quality across devices.

AI video enhancementDenoisingOpenGL

0 likes · 9 min read

How ZoomAI Uses AI to Super‑Resolve and Enhance Low‑Quality Videos