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Found 2 papers, 2 papers with code
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
However, the transformers are prohibited from directly learning the long-term dependency in videos due to the quadratic complexity of self-attention, and inherently suffering from slow inference time and error propagation due to the autoregressive process.
Ranked #18 on
Video Generation
on UCF-101
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Generative modeling of set-structured data, such as point clouds, requires reasoning over local and global structures at various scales.
Ranked #3 on
Point Cloud Generation
on ShapeNet Car
