
Neural Radiance Fields (NeRF) is a deep learning-based method that can reconstruct 3D scenes and synthesize new viewpoints from a set of input images. NeRF has enabled significant advancements in areas such as 3D scene understanding, novel view synthesis, human body reconstruction, and robotics.


coremsg

neural-radiance-fields-a-comprehensive-review-of-advances-in-3d-scene-reconstruction-and-novel-view-synthesis


Neural Radiance Fields: A Comprehensive Review of Advances in 3D Scene Reconstruction and Novel View Synthesis


title_rewrite


GaussianAvatars is a method that creates photorealistic and fully controllable head avatars from multi-view video recordings. It represents the head as a dynamic 3D radiance field using 3D Gaussian splats rigged to a parametric face model, enabling precise animation of the avatar's expression, pose, and viewpoint.


photorealistic-and-controllable-head-avatars-created-from-multi-view-videos


Photorealistic and Controllable Head Avatars Created from Multi-View Videos
