activity
20222024
most citedMip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields

23 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

HFGaussian: Learning Generalizable Gaussian Human with Integrated Human Features

Arnab Dey, Cheng-You Lu, Andrew I. Comport +3

Recent advancements in radiance field rendering show promising results in 3D scene representation, where Gaussian splatting-based techniques emerge as state-of-the-art due to their…

cs.CV2024

GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields

Arnab Dey, Di Yang, Rohith Agaram +4

Recent advances in Neural Radiance Fields (NeRF) have demonstrated promising results in 3D scene representations, including 3D human representations. However, these representations…

cs.CV2024

HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields

Arnab Dey, Di Yang, Antitza Dantcheva +1

In recent advancements in novel view synthesis, generalizable Neural Radiance Fields (NeRF) based methods applied to human subjects have shown remarkable results in generating nove…

cs.CV2023★ 5 cited

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields

Cheng-You Lu, Peisen Zhou, Angela Xing +8

Advances in neural fields are enabling high-fidelity capture of the shape and appearance of dynamic 3D scenes. However, their capabilities lag behind those offered by conventional…

cs.CV2022

PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping

Yassine Ahmine, Arnab Dey, Andrew I. Comport

Recently neural scene representations have provided very impressive results for representing 3D scenes visually, however, their study and progress have mainly been limited to visua…

cs.CV2022★ 23 cited

Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields

Arnab Dey, Yassine Ahmine, Andrew I. Comport

Neural scene representations, such as Neural Radiance Fields (NeRF), are based on training a multilayer perceptron (MLP) using a set of color images with known poses. An increasing…

cs.CV2022

RGB-D Neural Radiance Fields: Local Sampling for Faster Training

Arnab Dey, Andrew I. Comport

Learning a 3D representation of a scene has been a challenging problem for decades in computer vision. Recent advances in implicit neural representation from images using neural ra…