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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
| Date | Stars |
|---|---|
| 2026-07-24 | 1324 |
| 2026-07-25 | 1324 |
| 2026-07-28 | 1324 |
| 2026-07-30 | 1324 |
| 2026-08-06 | 1324 |
Today
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Momentum
0.0
growth rate 0.00%/day
# Unbounded Neural Radiance Fields in Pytorch <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section --> [](#contributors-) <!-- ALL-CONTRIBUTORS-BADGE:END --> ## 1. Introduction **This is still a research project in progress.** This project aims for benchmarking several state-of-the-art large-scale radiance fields algorithms. We exchangely use terms "unbounded NeRF" and "large-scale NeRF" because we find the techniques behind them are closely related. Instead of pursuing a big and complicated code system, we pursue a simple code repo with SOTA performance for unbounded NeRFs. You are expected to get the following results in this repository: | Benchmark | Methods | PSNR | |-------------------------------|--------------|-----------| | Unbounded Tanks & Temples | NeRF++ | 20.49 | | Unbounded Tanks & Temples | Plenoxels | 20.40 | | Unbounded Tanks & Temples | DVGO | 20.10 | | **Unbounded Tanks & Temples** | **Ours** | **20.85** | | Mip-NeRF-360 Benchmark | NeRF | 24.85 | | Mip-NeRF-360 Benchmark | NeRF++ | 26.21 | | Mip-NeRF-360 Benchmark | Mip-NeRF-360 | 28.94 | | Mip-NeRF-360 Benchmark | DVGO | 25.42 | | **Mip-NeRF-360 Benchmark** | **Ours** | **28.98** | <details> <summary> Expand / collapse qualitative results. </summary> ## Tanks and Temples: * Playground: https://user-images.githubusercontent.com/31123348/220946729-d88db335-0618-4b75-9fc2-8de577e1ddb5.mp4 * Truck: https://user-images.githubusercontent.com/31123348/220946857-0f4b7239-8be6-4fca-9bba-2f2425e857a5.mp4 * M60: https://user-images.githubusercontent.com/31123348/220947063-068b94f6-3afb-421d-8746-43bcf9643a37.mp4 * Train: https://user-images.githubusercontent.com/31123348/220947239-6528d542-b2b8-45e3-8e69-6e0eff869720.mp4 ## Mip-NeRF-360 Benchmark: * Bicycle: https://user-images.githubusercontent.com/31123348/220947385-ab31c646-c671-4522-8e4f-a1982d98c753.mp4 * Stump: https://user-images.githubusercontent.com/31123348/220947472-47dc4716-095b-45ec-890b-d6afd97de9e9.mp4 * Kitchen: https://user-images.githubusercontent.com/31123348/220947597-68f7ec32-c761-4253-955a-a2acc6a2eb25.mp4 * Bonsai: https://user-images.githubusercontent.com/31123348/220947686-d8957a2e-ef52-46cf-b437-28de91f55871.mp4 * Garden: https://user-images.githubusercontent.com/31123348/220947771-bbd249c0-3d0b-4d25-9b79-d4de9af17c4a.mp4 * Counter: https://user-images.githubusercontent.com/31123348/220947818-e5c6b07f-c930-48b2-8aa7-363182dea6be.mp4 * Room: https://user-images.githubusercontent.com/31123348/220948025-25ce5cc1-3c9a-450c-920d-98a8f153a0fa.mp4 ## San Francisco Mission Bay (dataset released by [Block-NeRF](https://waymo.com/research/block-nerf/)): * Training splits: https://user-images.githubusercontent.com/31123348/200509378-4b9fe63f-4fa4-40b1-83a9-b8950d981a3b.mp4 * Rotation: https://user-images.githubusercontent.com/31123348/200509910-a5d8f820-143a-4e03-8221-b04d0db2d050.mov </details> Hope our efforts could help your research or projects! ## 2. News - [2023.3.20] This project is renamed to "UnboundedNeRFPytorch" because we find our work is not large enough (e.g., at city level), rigorously speaking. <details> <summary> Expand / collapse older news. </summary> - [2023.2.27] **A major update of our repository with better performance and full code release**. - [2022.12.23] Released several weeks' NeRF. Too many papers pop out these days so the update speed is slow. - [2022.9.12] Training Block-NeRF on the Waymo dataset, reaching PSNR 24.3. - [2022.8.31] Training Mega-NeRF on the Waymo dataset, loss still NAN. - [2022.8.24] Support the full Mega-NeRF pipeline. - [2022.8.18] Support all previous papers in weekly classified NeRF. - [2022.8.17] Support classification in weekly NeR
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Zelin Zhao · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1ede53944d2b66a0, topic:deep-learning, topic:pytorch
matched fp:1ede53944d2b66a0, topic:nerf, readme:neural radiance