https://github.com/Vahe1994/ThreeDLAPGAN
공식 코드Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Papers with Code 아카이브
Generating 3D Point Clouds
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gmum/3d-point-clouds-HyperCloud
공식 코드https://github.com/klarh/flowws-keras-geometry
공식 코드https://github.com/openai/point-e
공식 코드Point-E: A System for Generating 3D Point Clouds from Complex Prompts
https://github.com/syb7573330/PointGrow
공식 코드PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
https://github.com/KostiukIvan/HyperColor
https://github.com/MaciejZamorski/3d-AAE
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
https://github.com/klarh/geometric_algebra_attention
https://github.com/luke9642/master-thesis
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
https://github.com/texsmv/point_cloud_reconstruction
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
https://github.com/theamaya/3dlatnav
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.