There are 34 repositories under differentiable-rendering topic.
A PyTorch Library for Accelerating 3D Deep Learning Research
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
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]
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
[NeurIPS 2022] Official code repository for "TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition"
[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
Auto-differentiable digitally reconstructed radiographs in PyTorch
AutoLens: automated lens design from scratch.
[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos
ReLU Fields The Little Non-linearity That Could
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
Localizing Regions on 3D Shapes via Text Descriptions
Official Demo Code for "Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms"
Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Code for PPR: Physically Plausible Reconstruction from Monocular Videos (ICCV 23).
Local text-driven editing of 3D shapes with Cascaded Score Distillation
Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)