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From Variational to Deterministic Autoencoders

, , , , and . (2019)cite arxiv:1903.12436Comment: Partha Ghosh and Mehdi S. M. Sajjadi contributed equally to this work.

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From Variational to Deterministic Autoencoders, , , , and . International Conference on Learning Representations, (2020)Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations., , , , , , , , , and 3 other author(s). CVPR, page 6219-6228. IEEE, (2022)Object Scene Representation Transformer., , , , , , , , and . NeurIPS, (2022)DyST: Towards Dynamic Neural Scene Representations on Real-World Videos., , , , and . ICLR, OpenReview.net, (2024)From Variational to Deterministic Autoencoders., , , , and . ICLR, OpenReview.net, (2020)RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs., , , , , and . CVPR, page 5470-5480. IEEE, (2022)Assessing Generative Models via Precision and Recall., , , , and . NeurIPS, page 5234-5243. (2018)Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 2507-2527. PMLR, (2023)PaLM-E: An Embodied Multimodal Language Model., , , , , , , , , and 12 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 8469-8488. PMLR, (2023)DORSal: Diffusion for Object-centric Representations of Scenes et al., , , , and . ICLR, OpenReview.net, (2024)