A PyTorch Library for Accelerating 3D Deep Learning Research
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Updated
May 16, 2024 - Python
A PyTorch Library for Accelerating 3D Deep Learning Research
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
Differentiable rendering without approximation.
3D mesh stylization driven by a text input in PyTorch
Point-NeRF: Point-based Neural Radiance Fields
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
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]
DIRT: a fast differentiable renderer for TensorFlow
Differentiable Surface Splatting
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
AutoLens: automated lens design from scratch.
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos
(ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.
Auto-differentiable digitally reconstructed radiographs in PyTorch
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