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05/29/2023
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
We develop a method that recovers the surface, materials, and illuminati...
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05/09/2023
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
A signed distance function (SDF) parametrized by an MLP is a common ingr...
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04/18/2023
SDFReg: Learning Signed Distance Functions for Point Cloud Registration
Learning-based point cloud registration methods can handle clean point c...
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03/27/2023
Learning Harmonic Molecular Representations on Riemannian Manifold
Molecular representation learning plays a crucial role in AI-assisted dr...
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03/26/2023
BlobGAN-3D: A Spatially-Disentangled 3D-Aware Generative Model for Indoor Scenes
3D-aware image synthesis has attracted increasing interest as it models ...
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03/18/2023
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
Partial-label learning (PLL) is an important weakly supervised learning ...
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08/13/2022
DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis
In recent years, supervised or unsupervised learning-based MVS methods a...
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06/21/2022
EpiGRAF: Rethinking training of 3D GANs
A very recent trend in generative modeling is building 3D-aware generato...
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06/15/2022
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
Neural rendering can be used to reconstruct implicit representations of ...
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03/22/2022
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts
Limited by the computational efficiency and accuracy, generating complex...
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12/29/2021
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
Depth estimation is a crucial step for 3D reconstruction with panorama i...
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01/28/2020
