How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
This project is a deep learning image restoration tool designed to remove scratches, fading, and noise from aged photographs and film. It utilizes generative adversarial networks for image translation, alongside specialized networks for face enhancement and video colorization. The system distinguishes itself through a combination of latent-space domain mapping and progressive face enhancement to recover blurred or missing high-frequency facial details. For video content, it employs a colorization framework that uses optical flow and temporal guidance to propagate color from selected keyframes
Video-retalking is an AI lip synchronization framework and talking head video editor designed to match the mouth movements of a subject in a video to a target audio track. It utilizes a deep learning pipeline to synchronize speech with video recordings. The system employs a two-stage generation process that separates coarse lip movement from high-resolution detail refinement. It incorporates identity-aware face refinement and expression template alignment to maintain photorealistic skin textures and ensure visual consistency across video frames. The toolset covers facial expression modificat
HivisionIDPhotos is an AI-powered identification photo generator designed to automate the creation of standardized portraits. It utilizes machine learning to handle alignment, cropping, and background removal, transforming regular images into official identification photographs. The system features a background removal tool that uses offline inference to isolate subjects and a portrait enhancement tool that applies beauty filters to improve facial appearance and skin quality. To prepare photos for physical use, it includes a print layout generator that arranges processed images into standard
Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, and Xin Tong
Deokyun Kim, Minseon Kim, Gihyun Kwon*, and Dae-shik Kim, Progressive Face Super-Resolution via Attention to Facial Landmark, The British Machine Vision Conference 2019 (BMVC 2019)
The main features of deokyunkim/progressive-face-super-resolution are: Face Enhancement.
Projects with overlapping indexed features include: microsoft/bringing-old-photos-back-to-life — This project is a deep learning image restoration tool designed to remove scratches, fading, and noise from aged… opentalker/video-retalking — Video-retalking is an AI lip synchronization framework and talking head video editor designed to match the mouth… zeyi-lin/hivisionidphotos — HivisionIDPhotos is an AI-powered identification photo generator designed to automate the creation of standardized… rwenqi/3dfacedeblurring — Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, and Xin Tong.