3 papers
cs.CV2026
XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
Yu Zhang, Xi Zhang, Hualin Zhou +6
Deep learning for human sensing on edge systems presents significant potential for smart applications. However, its training and development are hindered by the limited availabilit…
cs.CV2026
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
SII-GAIR, Sand. ai, : +43
We present daVinci-MagiHuman, an open-source audio-video generative foundation model for human-centric generation. daVinci-MagiHuman jointly generates synchronized video and audio…
cs.CV2025
MAGI-1: Autoregressive Video Generation at Scale
Sand. ai, Hansi Teng, Hongyu Jia +36
We present MAGI-1, a world model that generates videos by autoregressively predicting a sequence of video chunks, defined as fixed-length segments of consecutive frames. Trained to…