Abdallah Dib

We've published a new blog post on Ubisoft website, showcasing our work on the paper MoSAR, a technique used by artists to streamline their workflow.

SEREP paper got accepted to ICCV 2025. We introduce a novel learning-based method for monocular facial expression capture and retargeting. More details from Here

One paper accepted to 'AI for Creative Visual Content Generation Editing and Understanding' (CVEU), CVPR 2025. We propose a texture generator model giving artists control over shape, skin tone and fine details. More details from Here

We released FFHQ-UV-Intrinsics dataset that contains intrinsics texture maps for 10K subjects at HD resolution. Download it from here

Mosar paper got accepted to CVPR 2024. MoSAR turns a portrait image into a relightable 3D avatar. More details from Here

We published a technical paper showcasing our FaceLab solution, which was used by artists to capture 3D facial performance for the 2019 film Cats.

S2F2 paper got accepted to FG2023. S2F2 is a robust self-supervised model that estimate 3D shape and reflectance from a monocular image. More details from Here

DeepNextFace is a 3D face reconstruction library from a single monocular RGB image via deep convolutional neural networks and differentiable ray tracing. Check it from https://github.com/abdallahdib/DeepNextFace

NextFace is a lightweight open source library, written in pytorch, for high fidelity face reconstruction. Check it from https://github.com/abdallahdib/NextFace

Our paper on self-supervised monocular 3D face reconstruction got accepted to ICCV 2021. More details from Here

Our paper on monocular 3D face reconstruction got accepted to EuroGraphics 2021. We achieve realistic 3D face reconstruction from a single image. More details from Here