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09/20/2023
Controllable Dynamic Appearance for Neural 3D Portraits
Recent advances in Neural Radiance Fields (NeRFs) have made it possible ...
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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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07/25/2023
Strivec: Sparse Tri-Vector Radiance Fields
We propose Strivec, a novel neural representation that models a 3D scene...
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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
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Single image 3D reconstruction is an important but challenging task that...
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05/26/2023
NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support
We present a method for generating high-quality watertight manifold mesh...
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04/24/2023
TensoIR: Tensorial Inverse Rendering
We propose TensoIR, a novel inverse rendering approach based on tensor f...
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03/10/2023
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
We present MovingParts, a NeRF-based method for dynamic scene reconstruc...
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02/02/2023
Factor Fields: A Unified Framework for Neural Fields and Beyond
We present Factor Fields, a novel framework for modeling and representin...
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11/17/2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Diffusion models currently achieve state-of-the-art performance for both...
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07/02/2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
Most indoor 3D scene reconstruction methods focus on recovering 3D geome...
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06/13/2022
RigNeRF: Fully Controllable Neural 3D Portraits
Volumetric neural rendering methods, such as neural radiance fields (NeR...
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06/13/2022
ARF: Artistic Radiance Fields
We present a method for transferring the artistic features of an arbitra...
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06/10/2022
Differentiable Rendering of Neural SDFs through Reparameterization
We present a method to automatically compute correct gradients with resp...
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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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03/21/2022
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
While NeRF has shown great success for neural reconstruction and renderi...
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03/17/2022
TensoRF: Tensorial Radiance Fields
We present TensoRF, a novel approach to model and reconstruct radiance f...
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01/21/2022
Point-NeRF: Point-based Neural Radiance Fields
Volumetric neural rendering methods like NeRF generate high-quality view...
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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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04/06/2021
NeuMIP: Multi-Resolution Neural Materials
We propose NeuMIP, a neural method for representing and rendering a vari...
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03/29/2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
We present MVSNeRF, a novel neural rendering approach that can efficient...
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03/01/2021
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
Recent work has demonstrated that volumetric scene representations combi...
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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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08/09/2020
Neural Reflectance Fields for Appearance Acquisition
We present Neural Reflectance Fields, a novel deep scene representation ...
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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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04/25/2020
Deep Photon Mapping
Recently, deep learning-based denoising approaches have led to dramatic ...
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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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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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05/02/2019