jc211/ParticleNeRF
A particle-based encoding for Neural Radiance Fields
This project helps researchers and engineers working with 3D scene reconstruction to create highly realistic and dynamic 3D models. It takes a series of images or video of a moving object or scene, and outputs a 3D model that can accurately represent changes in shape, position, or articulation. It's ideal for those developing computer vision or graphics applications.
No commits in the last 6 months.
Use this if you need to create detailed, photorealistic 3D models from 2D images, especially for scenes or objects that are moving or changing over time.
Not ideal if you only need static 3D models or if you prefer traditional 3D scanning methods.
Stars
98
Forks
5
Language
Cuda
License
—
Category
Last pushed
Mar 31, 2023
Commits (30d)
0
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