Robuta

SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction - yitongx/sinerf

What are Neural Radiance Fields how and why businesses use Neural Radiance Fields, and how to use Neural Radiance Fields with AWS.

11/27/22 - Recently, differentiable volume rendering in neural radiance fields (NeRF) has gained a lot of popularity, and its variants have a...

01/10/23 - Compositional representations of the world are a promising step towards enabling high-level scene understanding and efficient tran...

We introduce DoubleField, a novel framework combining the merits of both surface field and radiance field for high-fidelity human reconstruction and rendering....

Cryogenic electron microscopy (cryo-EM) has become a widely used technique for determining the 3D structures of proteins. However, cryo-EM datasets often...

09/25/22 - To navigate complex environments, robots must increasingly use high-dimensional visual feedback (e.g. images) for control. However...

Abstract page for arXiv paper 2312.13471: NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields

09/01/22 - We propose X-NeRF, a novel method to learn a Cross-Spectral scene representation given images captured from cameras with different...

Though neural radiance fields (NeRF) have demonstrated impressive view synthesis results on objects and small bounded regions of space, they struggle on...

Recent research work has developed powerful generative models (e.g., StyleGAN2) that can synthesize complete human head images with impressive photorealism,...