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PROVIDE: a probabilistic framework for unsupervised video decomposition., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 2019-2028. AUAI Press, (2021)Continuous Latent Process Flows., , , and . NeurIPS, page 5162-5173. (2021)Neural volumes: learning dynamic renderable volumes from images., , , , , and . ACM Trans. Graph., 38 (4): 65:1-65:14 (2019)Learning Physics-Guided Face Relighting Under Directional Light., , , and . CVPR, page 5123-5132. Computer Vision Foundation / IEEE, (2020)Zero-Shot Generation of Human-Object Interaction Videos., , , and . CoRR, (2019)Generating Videos of Zero-Shot Compositions of Actions and Objects., , , , and . ECCV (12), volume 12357 of Lecture Notes in Computer Science, page 382-401. Springer, (2020)Non-parametric models for structured data and applications to human bodies and natural scenes.. ETH Zurich, Zürich, Switzerland, (2016)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/155938).Probabilistic Video Generation Using Holistic Attribute Control., , , , and . ECCV (5), volume 11209 of Lecture Notes in Computer Science, page 466-483. Springer, (2018)Variational Autoencoders with Jointly Optimized Latent Dependency Structure., , , , and . ICLR (Poster), OpenReview.net, (2019)Continuous-time Particle Filtering for Latent Stochastic Differential Equations., , and . CoRR, (2022)