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09/14/2023
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
We introduce OpenIllumination, a real-world dataset containing over 108K...
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08/19/2023
A Theory of Topological Derivatives for Inverse Rendering of Geometry
We introduce a theoretical framework for differentiable surface evolutio...
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08/05/2023
NeRFs: The Search for the Best 3D Representation
Neural Radiance Fields or NeRFs have become the representation of choice...
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07/12/2023
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination
Precomputed Radiance Transfer (PRT) remains an attractive solution for r...
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06/29/2023
PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN
Portrait synthesis creates realistic digital avatars which enable users ...
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05/03/2023
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
We present a one-shot method to infer and render a photorealistic 3D rep...
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04/12/2023
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
Inverse path tracing has recently been applied to joint material and lig...
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04/08/2023
Importance Sampling BRDF Derivatives
We propose a set of techniques to efficiently importance sample the deri...
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03/28/2023
A Generalized Ray Formulation For Wave-Optics Rendering
Under ray-optical light transport, the classical ray serves as a local a...
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02/20/2023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Novel view synthesis from a single image requires inferring occluded reg...
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10/31/2022
Decorrelating ReSTIR Samplers via MCMC Mutations
Monte Carlo rendering algorithms often utilize correlations between pixe...
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07/12/2022
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image
Although neural radiance fields (NeRF) have shown impressive advances fo...
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05/19/2022
Physically-Based Editing of Indoor Scene Lighting from a Single Image
We present a method to edit complex indoor lighting from a single image ...
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04/14/2022
A Level Set Theory for Neural Implicit Evolution under Explicit Flows
Coordinate-based neural networks parameterizing implicit surfaces have e...
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12/17/2021
Scalar Spatiotemporal Blue Noise Masks
Blue noise error patterns are well suited to human perception, and when ...
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10/25/2021
Learning Neural Transmittance for Efficient Rendering of Reflectance Fields
Recently neural volumetric representations such as neural reflectance fi...
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08/30/2021
Deep 3D Mask Volume for View Synthesis of Dynamic Scenes
Image view synthesis has seen great success in reconstructing photoreali...
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07/26/2021
NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
Human portraits exhibit various appearances when observed from different...
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04/08/2021
Modulated Periodic Activations for Generalizable Local Functional Representations
Multi-Layer Perceptrons (MLPs) make powerful functional representations ...
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04/06/2021
NeuMIP: Multi-Resolution Neural Materials
We propose NeuMIP, a neural method for representing and rendering a vari...
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10/17/2020
Light Stage Super-Resolution: Continuous High-Frequency Relighting
The light stage has been widely used in computer graphics for the past t...
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10/05/2020
Photon-Driven Neural Path Guiding
Although Monte Carlo path tracing is a simple and effective algorithm to...
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09/04/2020
Real-Time Selfie Video Stabilization
We propose a novel real-time selfie video stabilization method. Our meth...
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08/09/2020
Neural Reflectance Fields for Appearance Acquisition
We present Neural Reflectance Fields, a novel deep scene representation ...
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08/09/2020
Neural Light Transport for Relighting and View Synthesis
The light transport (LT) of a scene describes how it appears under diffe...
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08/04/2020
Deep Multi Depth Panoramas for View Synthesis
We propose a learning-based approach for novel view synthesis for multi-...
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07/25/2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Large-scale photorealistic datasets of indoor scenes, with ground truth ...
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07/20/2020
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
We present a deep learning approach to reconstruct scene appearance from...
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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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04/25/2020
Deep Photon Mapping
Recently, deep learning-based denoising approaches have led to dramatic ...
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03/27/2020
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
We present a method to improve the visual realism of low-quality, synthe...
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03/27/2020
Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images
We introduce a novel learning-based method to reconstruct the high-quali...
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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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11/27/2019
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D re...
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05/07/2019
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
We propose a deep inverse rendering framework for indoor scenes. From a ...
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05/02/2019
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
We present a practical and robust deep learning solution for capturing a...
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05/02/2019
Single Image Portrait Relighting
Lighting plays a central role in conveying the essence and depth of the ...
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05/01/2019
Pushing the Boundaries of View Extrapolation with Multiplane Images
We explore the problem of view synthesis from a narrow baseline pair of ...
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03/31/2019
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network
Restoring a sharp light field image from its blurry input has become ess...
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07/30/2018
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition
Intrinsic image decomposition is the process of separating the reflectan...
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12/01/2017
Image to Image Translation for Domain Adaptation
We propose a general framework for unsupervised domain adaptation, which...
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08/25/2017
Linear Differential Constraints for Photo-polarimetric Height Estimation
In this paper we present a differential approach to photo-polarimetric s...
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08/10/2017
Learning to Synthesize a 4D RGBD Light Field from a Single Image
We present a machine learning algorithm that takes as input a 2D RGB ima...
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05/08/2017
Light Field Video Capture Using a Learning-Based Hybrid Imaging System
Light field cameras have many advantages over traditional cameras, as th...
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04/18/2017
Light Field Blind Motion Deblurring
We study the problem of deblurring light fields of general 3D scenes cap...
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09/09/2016
Learning-Based View Synthesis for Light Field Cameras
With the introduction of consumer light field cameras, light field imagi...
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08/24/2016