What is recorded here?
Trained a decoder-only transformer on mixed multimodal generation objectives over video, image, text and audio representations, then adapted the pretrained model to conditioned video-generation tasks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Autoregressive transformers and pretrained tokenizers are inherited. Acquired delta is unified multimodal training/task integration, not generic next-token modeling. Zero-shot generation in tested settings is not arbitrary-domain or long-horizon consistency.
Read the original work
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Rachel Hornung; Hartwig Adam; Hassan Akbari; Yair Alon; Vighnesh Birodkar; Yong Cheng; Ming-Chang Chiu; Josh Dillon; Irfan Essa; Agrim Gupta; Meera Hahn; Anja Hauth; David Hendon; Alonso Martinez; David Minnen; David Ross; Grant Schindler; Mikhail Sirotenko; Kihyuk Sohn; Krishna Somandepalli; Huisheng Wang; Jimmy Yan; Ming-Hsuan Yang; Xuan Yang; Bryan Seybold; Lu Jiang
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.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
Kondratyuk et al.: autoregressive multimodal video/audio generation
Trained a decoder-only transformer on mixed multimodal generation objectives over video, image, text and audio representations, then adapted the pretrained model to conditioned video-generation tasks.
Scientific scope
Autoregressive transformers and pretrained tokenizers are inherited. Acquired delta is unified multimodal training/task integration, not generic next-token modeling. Zero-shot generation in tested settings is not arbitrary-domain or long-horizon consistency.
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
Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Rachel Hornung; Hartwig Adam; Hassan Akbari; Yair Alon; Vighnesh Birodkar; Yong Cheng; Ming-Chang Chiu; Josh Dillon; Irfan Essa; Agrim Gupta; Meera Hahn; Anja Hauth; David Hendon; Alonso Martinez; David Minnen; David Ross; Grant Schindler; Mikhail Sirotenko; Kihyuk Sohn; Krishna Somandepalli; Huisheng Wang; Jimmy Yan; Ming-Hsuan Yang; Xuan Yang; Bryan Seybold; Lu Jiang
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.