Search papers, labs, and topics across Lattice.
3
0
4
Current facial expression editing models can't simultaneously preserve identity and accurately manipulate expressions, revealing a critical need for better fine-grained instruction following.
Even state-of-the-art text-to-image models like Qwen-Image can be significantly improved in structural fidelity and semantic alignment of rendered text using a novel RL strategy that rewards structural anomaly quantification.
By fusing pixel-level pathology images with spatially-resolved gene expression data, STAMP unlocks a new level of molecular specificity in multimodal pathology representation learning.
