A PyTorch Library for Accelerating 3D Deep Learning Research
翻译 - 一个PyTorch库，用于加速3D深度学习研究
Differentiable rendering without approximation.
翻译 - 可区分的渲染，无需近似。
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
Point-NeRF: Point-based Neural Radiance Fields
3D mesh stylization driven by a text input in PyTorch
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
#人脸识别#A high-fidelity 3D face reconstruction library from monocular RGB image(s)
#人脸识别#Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
Differentiable Surface Splatting
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
#计算机科学#DIRT: a fast differentiable renderer for TensorFlow
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
[ECCV 2024 - ORAL] Official PyTorch implementation of Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering
#计算机科学#Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
#计算机科学#Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
Auto-differentiable digitally reconstructed radiographs in PyTorch
#计算机科学#TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
#计算机科学#(ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency