activity
20202022
most citedLearning Deformable Tetrahedral Meshes for 3D Reconstruction

49 citations · 94 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2022★ 1 cited

Variable Bitrate Neural Fields

Towaki Takikawa, Alex Evans, Jonathan Tremblay +4

Neural approximations of scalar and vector fields, such as signed distance functions and radiance fields, have emerged as accurate, high-quality representations. State-of-the-art r…

cs.HC2022

Experimental Augmented Reality User Experience

Josef Spjut, Fengyuan Zhu, Xiaolei Huang +4

Augmented Reality (AR) is an emerging field ripe for experimentation, especially when it comes to developing the kinds of applications and experiences that will drive mass adoption…

cs.HC2022★ 3 cited

FirstPersonScience: Quantifying Psychophysics for First Person Shooter Tasks

Josef Spjut, Ben Boudaoud, Kamran Binaee +3

In the emerging field of esports research, there is an increasing demand for quantitative results that can be used by players, coaches and analysts to make decisions and present me…

cs.GR2022

Wavelet Transparency

Maksim Aizenshtein, Niklas Smal, Morgan McGuire

Order-independent transparency schemes rely on low-order approximations of transmittance as a function of depth. We introduce a new wavelet representation of this function and an a…

cs.GR2021

Dynamic Diffuse Global Illumination Resampling

Zander Majercik, Thomas Müller, Alexander Keller +2

Interactive global illumination remains a challenge in radiometrically- and geometrically-complex scenes. Specialized sampling strategies are effective for specular and near-specul…

cs.GR2021

Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System

Rachel Brown, Vasha DuTell, Bruce Walter +4

Computer graphics seeks to deliver compelling images, generated within a computing budget, targeted at a specific display device, and ultimately viewed by an individual user. The f…

cs.CV2021

Robust Vision-Based Cheat Detection in Competitive Gaming

Aditya Jonnalagadda, Iuri Frosio, Seth Schneider +2

Game publishers and anti-cheat companies have been unsuccessful in blocking cheating in online gaming. We propose a novel, vision-based approach that captures the final state of th…

cs.DC2021

A Distributed, Decoupled System for Losslessly Streaming Dynamic Light Probes to Thin Clients

Michael Stengel, Zander Majercik, Benjamin Boudaoud +1

We present a networked, high performance graphics system that combines dynamic, high quality, ray traced global illumination computed on a server with direct illumination and prima…

cs.CV2021★ 33 cited

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

Towaki Takikawa, Joey Litalien, Kangxue Yin +6

Neural signed distance functions (SDFs) are emerging as an effective representation for 3D shapes. State-of-the-art methods typically encode the SDF with a large, fixed-size neural…

cs.CV2020★ 49 cited

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

Jun Gao, Wenzheng Chen, Tommy Xiang +4

3D shape representations that accommodate learning-based 3D reconstruction are an open problem in machine learning and computer graphics. Previous work on neural 3D reconstruction…

cs.GR2020★ 8 cited

Scaling Probe-Based Real-Time Dynamic Global Illumination for Production

Zander Majercik, Adam Marrs, Josef Spjut +1

We contribute several practical extensions to the probe based irradiance-field-with-visibility representation to improve image quality, constant and asymptotic performance, memory…