JNeRF is a NeRF benchmark based on Jittor. JNeRF re-implemented instant-ngp and achieved same performance with original paper.
☆642Oct 19, 2024Updated last year
Alternatives and similar repositories for JNeRF
Users that are interested in JNeRF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.☆2,209Nov 10, 2023Updated 2 years ago
- Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)☆1,286Jun 16, 2023Updated 3 years ago
- A General NeRF Acceleration Toolbox in PyTorch.☆1,455Oct 2, 2024Updated last year
- Direct voxel grid optimization for fast radiance field reconstruction.☆1,075May 15, 2023Updated 3 years ago
- Code for "MeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing", ECCV 2022 Oral☆391Sep 28, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/☆1,038Aug 7, 2024Updated 2 years ago
- Human Performance Modeling and Rendering via Neural Animated Mesh (Published in SIGGRAPH Asia 2022)☆391Mar 9, 2023Updated 3 years ago
- [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering☆589Sep 19, 2022Updated 3 years ago
- OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark☆584Feb 3, 2023Updated 3 years ago
- State-of-the-art, simple, fast unbounded / large-scale NeRFs.☆1,323Jun 11, 2024Updated 2 years ago
- This repository contains the code for Learning Neural Light Fields with Ray-Space Embedding Networks.☆194May 15, 2022Updated 4 years ago
- [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields