Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct
neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that …

Recent years have witnessed the tremendous progress of 3D GANs for generating view-
consistent radiance fields with photo-realism. Yet, high-quality generation of human …

Humans constantly interact with objects in daily life tasks. Capturing such processes and
subsequently conducting visual inferences from a fixed viewpoint suffers from occlusions …

The practical deployment of Neural Radiance Fields (NeRF) in rendering applications faces
several challenges, with the most critical one being low rendering speed on even high-end …

Neural radiance fields (NeRF) have garnered significant attention, with recent works such as
Instant-NGP accelerating NeRF training and evaluation through a combination of hashgrid …

The various aspects like modeling and interpreting 3D environments and surroundings have
enticed humans to progress their research in 3D Computer Vision, Computer Graphics, and …

We, humans, are entering into a virtual era and indeed want to bring animals to the virtual
world as well for companion. Yet, computer-generated (CGI) furry animals are limited by …

4D reconstruction of human-object interaction is critical for immersive VR/AR experience
and human activity understanding. Recent advances still fail to recover fine geometry and …

Production-level workflows for producing convincing 3D dynamic human faces have long
relied on an assortment of labor-intensive tools for geometry and texture generation, motion …