Resources of Neural Rendering. Contribute to weihaox/awesome-neural-rendering development by creating an account on GitHub.

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 ...

Jul 1, 2023 · In this work, we present DNA-Rendering, a large-scale, high-fidelity repository of human performance data for neural actor rendering. DNA-Rendering presents several alluring attributes. First, our dataset contains over 1500 human subjects, 5000 motion sequences, and 67.5M frames' data volume.

Jan 14, 2025 · Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more. sdf nerf 3d-reconstruction implicit-surfaces neural-rendering

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.

This is the code release for our AAAI2023 paper, PyTorch implementation of Large-Scale Neural Scene Rendering for Autonomous Driving(READ), a large-scale neural rendering method is proposed to synthesize the autonomous driving scene~(READ), which makes it possible to synthesize large-scale driving scenarios on a PC.

3D surface reconstruction and simulation based on 3D neural rendering. This repository primarily addresses two topics: Efficient and detailed reconstruction of implicit surfaces across different scenarios. Including object-centric / street-view, indoor / outdoor, large-scale (WIP) and multi-object (WIP) datasets.

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 ...

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 ...

The paper presents a novel 3D face rendering model, namely NeuFace, to learn accurate and physically-meaningful underlying 3D representations by neural rendering techniques. NeuFace naturally incorporates low-rank neural BRDFs into physically based rendering, allowing it to capture facial geometry and complex appearance properties ...