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cs.CV2025
CanvasMAR: Improving Masked Autoregressive Video Prediction With Canvas
Zian Li, Muhan Zhang
Masked autoregressive models (MAR) have emerged as a powerful paradigm for image and video generation, combining the flexibility of masked modeling with the expressiveness of conti…
cs.LG2025
GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining
Shaoheng Yan, Zian Li, Muhan Zhang
The pretraining-finetuning paradigm has powered major advances in domains such as natural language processing and computer vision, with representative examples including masked lan…