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Villegas et al.: causal video tokenization with variable-prompt generation

Compressed videos with a temporally causal discrete tokenizer and generated tokens with a text-conditioned masked transformer, combining image/text and video/text data for variable-length prompt sequences.

What is recorded here?

Compressed videos with a temporally causal discrete tokenizer and generated tokens with a text-conditioned masked transformer, combining image/text and video/text data for variable-length prompt sequences.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Masked generation, transformers and discrete autoencoders are inherited. Variable-length generation is an architectural capability, not arbitrarily long semantic/visual coherence or unlimited compute. Original2022 snapshot controls.

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People and systems

Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Villegas et al.: causal video tokenization with variable-prompt generation

Compressed videos with a temporally causal discrete tokenizer and generated tokens with a text-conditioned masked transformer, combining image/text and video/text data for variable-length prompt sequences.

Scientific scope

Masked generation, transformers and discrete autoencoders are inherited. Variable-length generation is an architectural capability, not arbitrarily long semantic/visual coherence or unlimited compute. Original2022 snapshot controls.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources