FloED introduces a dual‑branch, flow‑guided diffusion framework that dramatically improves spatio‑temporal consistency and computational efficiency for video restoration, outperforming existing text‑guided diffusion methods on both object removal and background repair benchmarks.
Bilibili’s Multimedia Lab created an end‑to‑end intelligent restoration system that assesses video resolution, frame‑rate and quality, then automatically selects and applies image‑level enhancement, frame‑rate up‑sampling, background and face restoration, and optical‑flow interpolation to transform blurry, jittery, artifact‑laden legacy videos into clear, smooth, high‑quality streams, now deployed for on‑demand content and slated for live‑stream expansion.
Alibaba’s DaTaobao team presented six CVPR 2022 papers—covering video restoration, real‑time image enhancement, human‑object interaction detection, indirect illumination modeling, editable NeRFs, and robust NeRF reconstruction—with all code and models open‑sourced, and invites viewers to a live stream for detailed walkthroughs.
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.
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.
The article summarizes a AAAI 2022 paper by Kuaishou's audio‑video algorithm team and Xidian University that introduces a deep‑learning‑based video compression‑artifact restoration method using temporal‑spatial auxiliary supervision, achieving significant PSNR/SSIM gains on transcoded videos without increasing bitrate.
A Chinese netizen used AI to colorize, upscale, and increase the frame rate of 1920 Beijing footage, sparking massive online interest, while the article explains the underlying AI interpolation methods, Gigapixel AI's role, and the technical challenges of restoring century‑old video.
