multinerf
DirectVoxGO
multinerf | DirectVoxGO | |
---|---|---|
3 | 1 | |
3,514 | 1,024 | |
1.2% | - | |
3.6 | 0.0 | |
5 months ago | 12 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
multinerf
- Does anyone know how to NeRF or Zip-NeRF videos?
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A NeRF update to my post from 4 days ago.
Luma AI is a free-to-use web app or iOS app, and you can find all Google's NeRF projects in MultiNeRF.
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Google AI Open-Sources ‘MultiNeRF’: Image Noise Reduction Artificial Intelligence Project Presented at Computer Vision and Graphics Recognition (CVPR) Conference 2022
Continue reading | Paper ‘Mip-NeRF 360‘ | Paper ‘Ref-NeRF‘ | Paper ‘NeRF in the Dark’ | Github Code
DirectVoxGO
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[R] Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
github: https://github.com/sunset1995/directvoxgo
What are some alternatives?
nerfstudio - A collaboration friendly studio for NeRFs
gangealing - Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
nerfmm - (Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
hyperstyle - Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666