Robuta

05/13/21 - A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis, optimized per scene. In this paper, we exp...

We'll explore the cutting-edge applications of GeoAI, radiance fields, and Gaussian splatting in the architecture, engineering, and construction (AEC) indu

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...

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

This paper scales object-level reconstruction to complex scenes, advancing interactive scene reconstruction. We introduce two datasets, OmniSim and InterReal,...

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

Discover the power of immersive Neural Radiance Fields (NeRFs) and Gaussian Splatting, where AI interactively transforms a set of 2D images into true-to-li

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

Inferring the 3D structure of a non-rigid dynamic scene from a single moving camera is an under-constrained problem. Inspired by the remarkable progress of...

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

06/13/23 - In this paper, we propose binary radiance fields (BiRF), a storage-efficient radiance field representation employing binary featur...

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