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Generating 3D Point Clouds
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StarNet: Style-Aware 3D Point Cloud Generation
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Geometric Algebra Attention Networks for Small Point Clouds
Hypernetwork approach to generating point clouds
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Developing Creative AI to Generate Sculptural Objects
Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.