Sandbox for training deep learning networks
-
Updated
May 7, 2024 - Python
Sandbox for training deep learning networks
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Photometric optimization code for creating the FLAME texture space and other applications
A 3DMM fitting framework using Pytorch.
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
Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
Reconstructing real-time 3D faces from 2D images using deep learning.
TF implementation of our CVPR 2021 paper: OSTeC: One-Shot Texture Completion
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
3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.
Evaluation scripts for the FG2018 3D face reconstruction challenge
Preprocessing to evaluate 3D face reconstruction from 2D image
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
TEMPEH reconstructs 3D heads in dense semantic correspondence from calibrated multi-view images in about 0.3 seconds.
Re-implementation: "[CVPR 2017] Learning Detailed Face Reconstruction from a Single Image".
Add a description, image, and links to the 3d-face-reconstruction topic page so that developers can more easily learn about it.
To associate your repository with the 3d-face-reconstruction topic, visit your repo's landing page and select "manage topics."