🏢 University of Toronto

L4GM: The first 4D model generating high-quality animated 3D objects from single-view videos in a single feed-forward pass.

Researchers enhanced diffusion samplers by developing a novel exploration strategy and a unified library, improving sample quality and addressing reproducibility challenges.

MolPhenix, a novel multi-modal model, drastically improves zero-shot molecular retrieval by leveraging a pre-trained phenomics model and a novel similarity-aware loss, achieving an 8.1x improvement ov…

GaussianCut enables intuitive 3D object selection via graph cuts on 3D Gaussian splatting, achieving competitive segmentation without extra training.

Diffusion4D: Fast, consistent 4D content generation via a novel 4D-aware video diffusion model, surpassing existing methods in efficiency and 4D geometry consistency.

CryoSPIN revolutionizes ab-initio cryo-EM reconstruction with semi-amortized pose inference, achieving faster and more accurate 3D structure determination.

Conformal inverse optimization learns uncertainty sets for parameters in optimization models, then solves a robust optimization model for high-quality, human-aligned decisions.

scCello: A Cell Ontology-Guided Transcriptome Foundation Model improves single-cell RNA sequencing analysis by incorporating cell lineage information, significantly boosting accuracy and generalizabil…