weihaox/awesome-neural-rendering: Resources of Neural …
Implicit Neural Representation and Rendering. Volumetric Performance Capture (Free Viewpoint Video) Semantic Photo Synthesis and Manipulation. Texture and Surface Embedding or Mapping. Novel-View Synthesis for Objects and Scenes. Light, Reflectance, Illuminance, and Shade. Dubbing and Talking-Head Animation.
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
This is the official code release of the CVPR 2024 paper NeuRAD: Neural Rendering for Autonomous Driving, building on top of Nerfstudio. Besides releasing the code for our NeuRAD model, we hope that this can lay the ground-work for research on applying neural rendering methods in autonomous driving. In line with Nerfstudio's mission, this is a ...
neural-rendering · GitHub Topics · GitHub
2024年10月6日 · To associate your repository with the neural-rendering topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub - DNA-Rendering/DNA-Rendering: DNA-RENDERING: A …
2024年5月13日 · Researchers are usually constrained to explore and evaluate a small set of rendering problems on current datasets, while real-world applications require methods to be robust across different scenarios. In this work, we present DNA-Rendering, a large-scale, high-fidelity repository of human performance data for neural actor rendering.
Neural 3D Mesh Renderer (CVPR 2018) - GitHub
This repo contains a PyTorch implementation of the paper Neural 3D Mesh Renderer by Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada. It is a port of the original Chainer implementation released by the authors. Currently the API is the same as in the original implementation with some smalls additions (e.g. render using a general 3x4 camera ...
Neural 3D Mesh Renderer (CVPR 2018) - GitHub
This is code for the paper Neural 3D Mesh Renderer by Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada. For more details, please visit project page. This repository only contains the core component and simple examples. Related repositories are: Neural Renderer (this repository) Single-image 3D mesh reconstruction; 2D-to-3D style transfer; 3D ...
GitHub - RenYurui/PIRender: The source code of the ICCV2021 …
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering" (ICCV2021) The proposed PIRenderer can synthesis portrait images by intuitively controlling the face motions with fully disentangled 3DMM parameters.
Generalizable Patch-Based Neural Rendering - GitHub
ENV_DIR = ~ / venvs / gpnr # Clone this repo. sudo apt install subversion svn export--force https: // github. com / google-research / google-research / trunk / gen_patch_neural_rendering # Setup virtualenv. python3-m venv $ ENV_DIR source $ ENV_DIR / bin / activate # Install dependencies. pip install-r gen_patch_neural_rendering / requirements ...
bmild/nerf: Code release for NeRF (Neural Radiance Fields) - GitHub
A neural radiance field is a simple fully connected network (weights are ~5MB) trained to reproduce input views of a single scene using a rendering loss. The network directly maps from spatial location and viewing direction (5D input) to color and opacity (4D output), acting as the "volume" so we can use volume rendering to differentiably ...
GitHub - ventusff/neurecon: Multi-view 3D reconstruction using …
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction. NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction [official implementation] [VolSDF] Volume rendering of neural implicit surfaces. and more...