A decoder-only autoregressive video model with continuous tokens, frame-wise causal attention, and a next-frame diffusion loss reports a higher VBench-I2V score than Cosmos I2V with a much smaller model and dataset.
Magi-1: Autoregressive video generation at scale
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
VideoMAR: Autoregressive Video Generatio with Continuous Tokens
A decoder-only autoregressive video model with continuous tokens, frame-wise causal attention, and a next-frame diffusion loss reports a higher VBench-I2V score than Cosmos I2V with a much smaller model and dataset.