CIPS-3D
nerfstudio
| CIPS-3D | nerfstudio | |
|---|---|---|
| 2 | 10 | |
| 606 | 8,533 | |
| - | 2.7% | |
| 2.7 | 9.6 | |
| 7 months ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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CIPS-3D
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[R] AI Researchers From Huawei and Shanghai Jiao Tong University Introduce ‘CIPS-3D’: A 3D-Aware Generator of GANs
Code for https://arxiv.org/abs/2110.09788 found: https://github.com/PeterouZh/CIPS-3D
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AI Researchers From Huawei and Shanghai Jiao Tong University Introduce ‘CIPS-3D’: A 3D-Aware Generator of GANs
Researchers at Huawei and Shanghai Jiao Tong University have developed CIPS-3D, an approach that synthesizes each pixel value independently, just as its 2D version did.
nerfstudio
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Smerf: Streamable Memory Efficient Radiance Fields
You’re under the right paper for doing this. Instead of one big model, they have several smaller ones for regions in the scene. This way rendering is fast for large scenes.
This is similar to Block-NeRF [0], in their project page they show some videos of what you’re asking.
As for an easy way of doing this, nothing out-of-the-box. You can keep an eye on nerfstudio [1], and if you feel brave you could implement this paper and make a PR!
[0] https://waymo.com/intl/es/research/block-nerf/
[1] https://github.com/nerfstudio-project/nerfstudio
- Researchers create open-source platform for Neural Radiance Field development
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first attempt to photogrammetry using DJI mini 2 and metashape. 460 images manual. What did I do wrong? What can i do to improve it? Would appreciate all kinds of advice to a newbie
Try rendering NERFs with your footage, you're gonna love the result and NERFs are pretty robust to reflections. You can use your Metashape solve for Nerf Studio https://github.com/nerfstudio-project/nerfstudio
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What is the best way to create a dataset for NeRF?
Beyond these tips, I don't have much. There's lots of research about how to improve quality of solves in the software itself. I'm hoping these get added to instant-ngp, since it's fast and free, but it is research software, not a product, so we'll see. Another thing to maybe look at is Nerfstudio. It can use instant-ngp as a solver, but there are other solvers. I briefly tried it but couldn't figure out how it worked, from the small bit of time I spent with it. I hope to get back to it.
- Nerfstudio – A collaboration friendly studio for NeRFs
- When the client's management is happy but their dev team is a pain
- A collaboration friendly studio for NeRFs
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NeRF ➜ point cloud export — now available via nerfstudio
nerf.studio | github | discord
- Show HN: A collaboration friendly studio for NeRFs
What are some alternatives?
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
multinerf - A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
TorchSharp - A .NET library that provides access to the library that powers PyTorch.
AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
sdfstudio - A Unified Framework for Surface Reconstruction
kaolin-wisp - NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
smerf-3d
giraffe - This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
vision_transformer
Bringing-Old-Photos-Back-to-Life - Bringing Old Photo Back to Life (CVPR 2020 oral)