Super-Resolution

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 2024Super-Resolution

0 likes · 25 min read

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

Bilibili Tech

Mar 1, 2024 · Artificial Intelligence

Bilibili's Self-Developed Video Super-Resolution Algorithm: Background, Optimization Directions, and Implementation Details

Bilibili’s self‑supervised video super‑resolution system upgrades low‑resolution streams to 4K by using three parallel degradation‑branch networks—texture‑enhancing, line‑recovering, and noise‑removing—tailored to anime, game, and real‑world content, delivering sharper edges, finer textures, and measurable quality gains across its online playback pipeline.

AIBilibiliSuper-Resolution

0 likes · 16 min read

Bilibili's Self-Developed Video Super-Resolution Algorithm: Background, Optimization Directions, and Implementation Details

DataFunSummit

Feb 8, 2024 · Artificial Intelligence

Tencent Music Tianqin Lab's Applications and Practices of Audio Quality AIGC

The article details Tencent Music's Tianqin Lab research on audio quality AIGC, covering background upgrades, music separation techniques, real‑time super‑resolution, the industry‑first premium master‑track technology, and a Q&A on vocal separation, illustrating practical AI-driven audio enhancements.

AIGCAudio AIMastering

0 likes · 7 min read

Tencent Music Tianqin Lab's Applications and Practices of Audio Quality AIGC

DataFunSummit

Jan 1, 2024 · Artificial Intelligence

Advances in Image and Video Enhancement, Quality Assessment, and Multimodal AI Techniques

This article reviews the latest research from Alibaba DAMO Academy on real-world image quality problems, covering spatial, temporal, and color enhancement methods, advanced quality assessment metrics, multimodal diffusion models, and future directions toward large‑model integration and lightweight deployment.

MOS regressionSuper-Resolutiondeep learning

0 likes · 24 min read

Advances in Image and Video Enhancement, Quality Assessment, and Multimodal AI Techniques

Xiaohongshu Tech REDtech

Aug 17, 2023 · Artificial Intelligence

Human Visual Perception Based Edge‑Cloud Super‑Resolution Framework and RedVQA Quality Assessment at XiaoHongShu

At LiveVideoStackCon 2023, XiaoHongShu unveiled an edge‑cloud super‑resolution framework guided by the human‑perception‑aligned RedVQA model, which jointly optimizes video quality and bandwidth by generating a dedicated SR bitrate tier in the cloud and applying a lightweight SR algorithm on the client, achieving notable QoE gains and narrow‑band HD delivery.

AISuper-Resolutionbandwidth optimization

0 likes · 25 min read

Human Visual Perception Based Edge‑Cloud Super‑Resolution Framework and RedVQA Quality Assessment at XiaoHongShu

Bilibili Tech

Jun 2, 2023 · Artificial Intelligence

AI‑Driven Video Quality Enhancement and Low‑Bitrate High‑Resolution Techniques at Bilibili

Bilibili’s Cloud Multimedia team uses AI‑driven pipelines to cut bandwidth costs while delivering low‑bitrate, high‑quality video, employing a QoE‑based decision engine, real‑time 4K super‑resolution for game streams, low‑rank reconstruction for narrow‑band HD, data‑driven HDR LUTs, and explores diffusion‑based restoration for legacy content.

AIBilibiliSuper-Resolution

0 likes · 27 min read

AI‑Driven Video Quality Enhancement and Low‑Bitrate High‑Resolution Techniques at Bilibili

Bilibili Tech

Feb 24, 2023 · Artificial Intelligence

Understanding Video Super-Resolution: Principles, Common Defects, and Practical Enhancement Techniques

Video super‑resolution, pioneered by deep‑learning models such as SRCNN, can synthesize plausible high‑frequency detail but often introduces artifacts like loss of stylistic noise, inconsistent line depth, texture smearing, and temporal flicker, which can be mitigated through preprocessing (BM3D denoising, descaling), targeted post‑processing (Gaussian blur, unsharp masking) and selective edge‑based texture merging to preserve original artistic style while enhancing perceived sharpness.

BM3DCUGANFourier transform

0 likes · 13 min read

Understanding Video Super-Resolution: Principles, Common Defects, and Practical Enhancement Techniques

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.

AISuper-Resolutionanimation

0 likes · 8 min read

AI-Powered Restoration of Classic Animation Videos Using Deep Learning

DaTaobao Tech

May 5, 2022 · Artificial Intelligence

Two-Stage Video Restoration Framework for NTIRE 2022 Video Enhancement Challenge

The TaoMC2 framework, a two‑stage pipeline that augments BasicVSR++ with peak‑quality frames and deep residual blocks in Stage I and refines results with a SwinIR transformer in Stage II, leverages progressive training and transfer learning to boost PSNR to 33.16 dB and secured two championship titles and a runner‑up in the NTIRE 2022 video enhancement challenge.

NTIRE2022Super-Resolutioncompression artifact removal

0 likes · 26 min read

Two-Stage Video Restoration Framework for NTIRE 2022 Video Enhancement Challenge

High Availability Architecture

Apr 22, 2022 · Artificial Intelligence

BIGO RTC: High‑Quality, Low‑Cost Real‑Time Communication through Core Operators and Scene Adaptation

The article explains how BIGO RTC achieves high‑quality, low‑cost real‑time audio‑video communication by optimizing core video operators such as HEVC encoding, AI‑driven super‑resolution and HDR, and by employing scene‑adaptive techniques like device performance tuning, content‑adaptive encoding and AI‑based pre‑processing to meet diverse latency constraints.

AI AdaptationHDRHigh Quality

0 likes · 9 min read

BIGO RTC: High‑Quality, Low‑Cost Real‑Time Communication through Core Operators and Scene Adaptation

Kuaishou Tech

Mar 1, 2022 · Artificial Intelligence

Quality Sound and Vision: Enhancing Video and Audio Experience with AI

The article details the development of '质臻影音' technology by Kuaishou's audio-visual team, which uses AI algorithms to restore classic films and enhance video quality through techniques like super-resolution, noise reduction, and adaptive processing strategies.

AI in video enhancementKuaishou technologySuper-Resolution

0 likes · 9 min read

Quality Sound and Vision: Enhancing Video and Audio Experience with AI

iQIYI Technical Product Team

Oct 15, 2021 · Artificial Intelligence

iQiyi's ZoomAI Wins 2021 CCF Science and Technology Award for Video Restoration and Enhancement

iQiyi's ZoomAI AI-based video restoration and enhancement system won the 2021 CCF Science and Technology Outstanding Progress Award, marking its fifth consecutive CCF honor; the system uses proprietary AI algorithms for super‑resolution, frame interpolation, scratch repair, colorization, etc., restoring classic films and improving viewer experience.

AI video restorationArtificial IntelligenceSuper-Resolution

0 likes · 5 min read

iQiyi's ZoomAI Wins 2021 CCF Science and Technology Award for Video Restoration and Enhancement

DataFunTalk

May 22, 2021 · Artificial Intelligence

Baidu's Video Foundation Technology Architecture and Key AI Techniques

This article presents an overview of Baidu's video foundation technology architecture, covering the video R&D platform, core AI techniques for video understanding, editing, surveillance, and general vision, and detailing innovations such as Attention‑Cluster networks, cross‑modality attention with graph convolution, GANs, super‑resolution, and adaptive encoding.

Adaptive EncodingGANSuper-Resolution

0 likes · 14 min read

Baidu's Video Foundation Technology Architecture and Key AI Techniques

DataFunTalk

Feb 12, 2021 · Artificial Intelligence

PlugNet: A Plug‑in Super‑Resolution Unit for Low‑Quality Text Recognition in Natural Scene OCR

This article introduces ImageDT's PlugNet, which combines deep‑learning OCR and super‑resolution techniques to improve low‑quality text recognition in natural scenes, detailing the company's background, OCR challenges, deep‑learning approaches, super‑resolution methods, the PlugNet architecture, experimental results, and future research directions.

AILow-Quality TextOCR

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PlugNet: A Plug‑in Super‑Resolution Unit for Low‑Quality Text Recognition in Natural Scene OCR

Baidu App Technology

Sep 7, 2020 · Artificial Intelligence

Real-Time Mobile Super-Resolution Reconstruction in Baidu App

The article describes Baidu App's real-time mobile super-resolution using a VDSR-based model with pruning and depthwise separable convolutions, optimized via application-layer and inference engine techniques to halve latency and memory, enabling on-device high‑def image/video enhancement, reducing server load, and supporting iOS/Android integration.

Real-time ProcessingSuper-Resolutiondeep learning

0 likes · 8 min read

Real-Time Mobile Super-Resolution Reconstruction in Baidu App

360 Quality & Efficiency

Dec 6, 2019 · Artificial Intelligence

Technical Research on Anime4K: Real‑Time Super‑Resolution Algorithm for Anime Images

Anime4K is a GPU‑accelerated super‑resolution algorithm tailored for animated images that achieves single‑digit millisecond latency, and the article explains its underlying residual‑based principle, practical results, and performance limitations on both GPU and CPU platforms.

Anime4KGPUReal-time

0 likes · 3 min read

Technical Research on Anime4K: Real‑Time Super‑Resolution Algorithm for Anime Images

360 Quality & Efficiency

Dec 6, 2019 · Artificial Intelligence

Technical Research on Anime4K: Real-Time Super-Resolution Algorithm for Animated Images

Anime4K is a GPU-accelerated super‑resolution algorithm designed for animated images, achieving sub‑10 ms latency by enhancing low‑resolution frames with edge‑sharpened residuals, and the article details its principles, visual results, and real‑time performance limitations on typical CPUs.

Anime4KGPUReal-time

0 likes · 2 min read

Technical Research on Anime4K: Real-Time Super-Resolution Algorithm for Animated Images

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.

AISuper-ResolutionZoomAI

0 likes · 29 min read

iQIYI ZoomAI Video Enhancement Technology: Applications and Technical Details

Youku Technology

Apr 11, 2019 · Artificial Intelligence

YOUKU-VSRE 2019 Video Enhancement and Super-Resolution Challenge Announcement

The YOUKU‑VSRE 2019 challenge invites researchers to develop state‑of‑the‑art video enhancement and super‑resolution models using the largest, most diverse simulated‑noise dataset, with three competition stages (preliminary, semi‑final, final), cash prizes up to ¥100,000, certificates, and fast‑track recruitment opportunities at Alibaba (Youku).

AI challengeSuper-Resolutioncompetition

0 likes · 3 min read

YOUKU-VSRE 2019 Video Enhancement and Super-Resolution Challenge Announcement

360 Quality & Efficiency

Dec 28, 2018 · Artificial Intelligence

SRGAN-Based Image Super-Resolution and MNIST Training Tutorial

This tutorial outlines a curriculum covering open‑source examples for enhancing image resolution using SRGAN, explains GAN‑based super‑resolution concepts, details network architectures and perceptual loss, and provides a simple MNIST training walkthrough with code links and resources.

GANMNISTSRGAN

0 likes · 7 min read

SRGAN-Based Image Super-Resolution and MNIST Training Tutorial