Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
3D-GANs for 3D model generation and fun 3D furniture arithmetics from embeddings (think like word2vec word arithmetics with 3D furniture representations).
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ShapeAssembly: learning to generate programs for 3D shape structure synthesis dl.acm.org
ACM Transactions on Graphics, 2020. [All Versions]. Manually authoring 3D shapes is difficult and time consuming; generative models of 3D shapes offer compelling alternatives. Procedural representations are one such possibility: they offer high-quality and editable results but…
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Structured Generative Models for Scene Understanding link.springer.com
International Journal of Computer Vision, 2025. [All Versions]. This position paper argues for the use of structured generative models (SGMs) for the understanding of static scenes. This requires the reconstruction of a 3D scene from an input image (or a set of multi-view…
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Awesome 3D Machine Learning github.com
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DragGAN github.com
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold.
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Generative Modeling Explained github.com
Statistical Machine Learning Tutorials, 2022. This tutorial on generative modeling is in part of Statistical Machine Learning Tutorial by Ying Nian Wu at UCLA Statistics. The tutorial goes over the key equations and algorithms for learning recent generative models, including…
Education › Papers > Convolutional Neural Networks: “3D-GANs for 3D model generation and fun 3D furniture arithmetics from embeddings (think like word2vec word arithmetics with 3D furniture representations).”