Sandbox for training deep learning networks
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Updated
Sep 6, 2024 - Python
Sandbox for training deep learning networks
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
A lightweight 3D Morphable Face Model library in modern C
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Extreme 3D Face Reconstruction: Looking Past Occlusions
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
A 3DMM fitting framework using Pytorch.
3D Passive Face Liveness Detection!Supports Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android
Photometric optimization code for creating the FLAME texture space and other applications
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
🐳 Docker files for Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
REALY: Rethinking the Evaluation of 3D Face Reconstruction (ECCV 2022)
[CVPR'23] Learning Neural Parametric Head Models
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
Official Pytorch Implementation of SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024)
TF implementation of our CVPR 2021 paper: OSTeC: One-Shot Texture Completion
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