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08/22/2023
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Latest methods represent shapes with open surfaces using unsigned distan...
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05/19/2023
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Neural signed distance functions (SDFs) have shown remarkable capability...
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03/21/2023
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution
Lightweight neural networks for single-image super-resolution (SISR) tas...
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03/18/2023
Multi-Semantic Interactive Learning for Object Detection
Single-branch object detection methods use shared features for localizat...
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03/14/2023
Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation
Existing approaches focus on using class-level features to improve seman...
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11/30/2022
NeAF: Learning Neural Angle Fields for Point Normal Estimation
Normal estimation for unstructured point clouds is an important task in ...
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10/06/2022
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Surface reconstruction for point clouds is an important task in 3D compu...
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03/29/2022
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
Reconstructing 3D shape from a single 2D image is a challenging task, wh...
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03/26/2022
Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder
Learning representations for point clouds is an important task in 3D com...
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12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
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10/20/2019
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments
Recently unsupervised learning of depth from videos has made remarkable ...
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10/20/2019
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
Unsupervised depth learning takes the appearance difference between a ta...
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08/08/2019