Projects sharing features with Anim NeRF

This project is a computer vision pipeline and volumetric rendering system used to transform photos and videos into high-fidelity 3D models. It implements a deformable neural radiance field framework that optimizes deformation fields to represent non-rigid moving subjects in three dimensions. The system utilizes volumetric deformation fields to map 3D coordinates from a static canonical space to a deformed state. This allows for the reconstruction of photorealistic scenes and the synthesis of high-fidelity images from camera perspectives not present in the original input data. The framework

HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.

Dynamic Neural Radiance Fields for Monocular 4D Facial Avater Reconstruction

Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.