activity
20212025
most citedNerfstudio: A Modular Framework for Neural Radiance Field Development

580 citations · 682 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Cameras as Relative Positional Encoding

Ruilong Li, Brent Yi, Junchen Liu +3

Transformers are increasingly prevalent for multi-view computer vision tasks, where geometric relationships between viewpoints are critical for 3D perception. To leverage these rel…

cs.CV2024★ 7 cited

gsplat: An Open-Source Library for Gaussian Splatting

Vickie Ye, Ruilong Li, Justin Kerr +8

gsplat is an open-source library designed for training and developing Gaussian Splatting methods. It features a front-end with Python bindings compatible with the PyTorch library a…

cs.CV2024

NeRF-XL: Scaling NeRFs with Multiple GPUs

Ruilong Li, Sanja Fidler, Angjoo Kanazawa +1

We present NeRF-XL, a principled method for distributing Neural Radiance Fields (NeRFs) across multiple GPUs, thus enabling the training and rendering of NeRFs with an arbitrarily…

cs.CV2023★ 2 cited

NerfAcc: Efficient Sampling Accelerates NeRFs

Ruilong Li, Hang Gao, Matthew Tancik +1

Optimizing and rendering Neural Radiance Fields is computationally expensive due to the vast number of samples required by volume rendering. Recent works have included alternative…

cs.CV2023★ 580 cited

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Matthew Tancik, Ethan Weber, Evonne Ng +10

Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more. In order to streamline the dev…

cs.CV2022★ 28 cited

Monocular Dynamic View Synthesis: A Reality Check

Hang Gao, Ruilong Li, Shubham Tulsiani +2

We study the recent progress on dynamic view synthesis (DVS) from monocular video. Though existing approaches have demonstrated impressive results, we show a discrepancy between th…

cs.CV2022★ 20 cited

NerfAcc: A General NeRF Acceleration Toolbox

Ruilong Li, Matthew Tancik, Angjoo Kanazawa

We propose NerfAcc, a toolbox for efficient volumetric rendering of radiance fields. We build on the techniques proposed in Instant-NGP, and extend these techniques to not only sup…

cs.CV2022

TAVA: Template-free Animatable Volumetric Actors

Ruilong Li, Julian Tanke, Minh Vo +4

Coordinate-based volumetric representations have the potential to generate photo-realistic virtual avatars from images. However, virtual avatars also need to be controllable even t…

cs.CV2021★ 13 cited

PlenOctrees for Real-time Rendering of Neural Radiance Fields

Alex Yu, Ruilong Li, Matthew Tancik +3

We introduce a method to render Neural Radiance Fields (NeRFs) in real time using PlenOctrees, an octree-based 3D representation which supports view-dependent effects. Our method c…

cs.CV2021★ 32 cited

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++

Ruilong Li, Shan Yang, David A. Ross +1

We present AIST++, a new multi-modal dataset of 3D dance motion and music, along with FACT, a Full-Attention Cross-modal Transformer network for generating 3D dance motion conditio…