PERF: Performant, Explicit Radiance Fields (original) (raw)

Multi-Plane Neural Radiance Fields for Novel View Synthesis

Fakhri Karray

arXiv (Cornell University), 2023

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Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields

Ulf Assarsson

arXiv (Cornell University), 2022

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3D reconstructions of brain from MRI scans using neural radiance fields

Alessandro Crimi

bioRxiv (Cold Spring Harbor Laboratory), 2023

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Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

Berk Kaya

2021

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Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation

Binqiang Zhao

arXiv (Cornell University), 2022

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Light Field Neural Rendering

MOHAMMED SUHAIL M A

ArXiv, 2021

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PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices

Sven Behnke

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

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Volumetric Global Illumination and Reconstruction via Energy Backprojection

Frank Dachille

2000

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Neural apparent BRDF fields for multiview photometric stereo

Meghna Asthana

arXiv (Cornell University), 2022

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3D Scene Modeling from Dense Video Light Fields

Christian Galea

2018

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Global illumination using imperfect volumes

Georgios Papaioannou

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DeLiRa: Self-Supervised Depth, Light, and Radiance Fields

Vitor Guizilini

arXiv (Cornell University), 2023

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Fast and Detailed Approximate Global Illumination by Irradiance Decomposition

James O'Brien

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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Dor Verbin

ArXiv, 2021

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Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

Dor Verbin

ArXiv, 2021

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FSAM: A fast self-adaptive method for correcting non-uniform illumination for 3D reconstruction

Junyu Dong

Computers in Industry, 2013

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High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Hayden K H So

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

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DONeRF: Towards Realā€Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks

Anton Kaplanyan

Computer Graphics Forum

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PANDORA: Polarization-Aided Neural Decomposition Of Radiance

Akshat Dave

2022

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Illumination networks: fast realistic rendering with general reflectance functions

Donald Fussell

ACM SIGGRAPH Computer Graphics, 1989

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3-D shape reconstruction from light fields using voxel back-projection

P. Eisert

1999

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FastNeRF: High-Fidelity Neural Rendering at 200FPS

Julien Valentin

ArXiv, 2021

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The Cube Surface Light Field for Interactive Free-Viewpoint Rendering

Yigang Wang

Applied Sciences

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3-D Shape Reconstruction from Light Fields Using Voxel Projection

P. Eisert

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Material and Lighting Reconstruction for Complex Indoor Scenes with Texture-space Differentiable Rendering

Anton Kaplanyan

2021

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MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray

Sam Bond-Taylor

ArXiv, 2022

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MaRF: Representing Mars as Neural Radiance Fields

Darrick Suen

arXiv (Cornell University), 2022

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Inverse global illumination: Recovering reflectance models of real scenes from photographs

Paul Debevec

1999

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Neural Radiance Fields-Comprehensive Survey

Anay Dongre

Zenodo (CERN European Organization for Nuclear Research), 2023

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Global illumination with radiance regression functions

Xin Tong

ACM Transactions on Graphics, 2013

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Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition

Mark Boss

2021

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Global illumination models for volume rendering

Lisa Avila

1994

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NeRD: Neural Reflectance Decomposition from Image Collections

Mark Boss

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021

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Deep reflectance fields

Matt Whalen

ACM Transactions on Graphics, 2019

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3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue

Binqiang Zhao

arXiv (Cornell University), 2022

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