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05/08/2023
NerfAcc: Efficient Sampling Accelerates NeRFs
Optimizing and rendering Neural Radiance Fields is computationally expen...
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04/20/2023
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
Casually captured Neural Radiance Fields (NeRFs) suffer from artifacts s...
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03/22/2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
We propose a method for editing NeRF scenes with text-instructions. Give...
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03/16/2023
LERF: Language Embedded Radiance Fields
Humans describe the physical world using natural language to refer to sp...
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02/08/2023
Nerfstudio: A Modular Framework for Neural Radiance Field Development
Neural Radiance Fields (NeRF) are a rapidly growing area of research wit...
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10/10/2022
NerfAcc: A General NeRF Acceleration Toolbox
We propose NerfAcc, a toolbox for efficient volumetric rendering of radi...
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07/28/2022
The One Where They Reconstructed 3D Humans and Environments in TV Shows
TV shows depict a wide variety of human behaviors and have been studied ...
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02/10/2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
We present Block-NeRF, a variant of Neural Radiance Fields that can repr...
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12/09/2021
Plenoxels: Radiance Fields without Neural Networks
We introduce Plenoxels (plenoptic voxels), a system for photorealistic v...
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04/01/2021
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
We present DietNeRF, a 3D neural scene representation estimated from a f...
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03/25/2021
PlenOctrees for Real-time Rendering of Neural Radiance Fields
We introduce a method to render Neural Radiance Fields (NeRFs) in real t...
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03/24/2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
The rendering procedure used by neural radiance fields (NeRF) samples a ...
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12/07/2020
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
We present a method that takes as input a set of images of a scene illum...
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12/03/2020
pixelNeRF: Neural Radiance Fields from One or Few Images
We propose pixelNeRF, a learning framework that predicts a continuous ne...
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12/03/2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Coordinate-based neural representations have shown significant promise a...
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06/18/2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
We show that passing input points through a simple Fourier feature mappi...
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03/19/2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
We present a method that achieves state-of-the-art results for synthesiz...
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03/18/2020
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
We present a deep learning solution for estimating the incident illumina...
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01/13/2020
TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data
Eye movements provide insight into what parts of an image a viewer finds...
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04/10/2019
StegaStamp: Invisible Hyperlinks in Physical Photographs
Imagine a world in which each photo, printed or digitally displayed, hid...
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10/27/2018
Flash Photography for Data-Driven Hidden Scene Recovery
Vehicles, search and rescue personnel, and endoscopes use flash lights t...
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07/27/2018
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Widely used in news, business, and educational media, infographics are h...
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10/19/2016
