3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces

Author:

Yavartanoo Mohsen1,Chung Jaeyoung1,Neshatavar Reyhaneh1,Mu Lee Kyoung1

Affiliation:

1. Seoul National University,ASRI,Department of ECE,Seoul,Korea

Funder

Seoul National University

Publisher

IEEE

Reference41 articles.

1. What Do Single-View 3D Reconstruction Networks Learn?

2. Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

3. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;qi;CoRR,2017

4. Volumetric and Multi-view CNNs for Object Classification on 3D Data

5. Pointnet: Deep learning on point sets for 3d classification and segmentation;qi;CoRR,2016

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1. Mixing-Denoising Generalizable Occupancy Networks;2024 International Conference on 3D Vision (3DV);2024-03-18

2. Iterative Superquadric Recomposition of 3D Objects from Multiple Views;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

3. Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

4. Few ‘Zero Level Set’-Shot Learning of Shape Signed Distance Functions in Feature Space;Lecture Notes in Computer Science;2022

5. Latent Partition Implicit with Surface Codes for 3D Representation;Lecture Notes in Computer Science;2022

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