HavenFeng/TRUST
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation (ECCV2022)
This project helps create realistic 3D digital avatars of faces from a single image. It takes a facial image as input and outputs a 3D head model that accurately represents the person's skin tone, making the avatars more faithful and inclusive. It's ideal for animators, game developers, or researchers working with digital human representations.
160 stars. No commits in the last 6 months.
Use this if you need to generate 3D facial avatars from photos and want to ensure accurate and unbiased skin tone representation.
Not ideal if you need to create 3D models of objects other than faces or if your primary goal is real-time processing rather than high-fidelity reconstruction.
Stars
160
Forks
15
Language
Python
License
—
Category
Last pushed
Jul 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/HavenFeng/TRUST"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
zhangyi-3/IDR
Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)
yinboc/liif
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
XingangPan/deep-generative-prior
Code for deep generative prior (ECCV2020 oral)
mv-lab/swin2sr
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. ...
eliahuhorwitz/DeepSIM
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single...