ajhamdi/sparf_pytorch
official repo for the paper "SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images"
This project helps computer graphics professionals and researchers create detailed 3D representations of objects from just a few regular images. You provide multiple pictures of an object taken from different angles, and it generates a 'radiance field'—a 3D model that captures how light interacts with the object. This is useful for anyone working in 3D content creation, visual effects, or virtual reality who needs to build complex 3D assets efficiently.
No commits in the last 6 months.
Use this if you need to generate high-quality 3D models and realistic new views of objects using only a small number of input images.
Not ideal if you are looking for a simple, out-of-the-box solution for casual 3D scanning without any technical setup or understanding of radiance fields.
Stars
67
Forks
5
Language
Python
License
—
Category
Last pushed
Aug 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ajhamdi/sparf_pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
nerfstudio-project/nerfstudio
A collaboration friendly studio for NeRFs
google/nerfies
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
SuLvXiangXin/zipnerf-pytorch
Unofficial implementation of ZipNeRF
yashbhalgat/HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives:...