REVEAL, a flow-matching generative model pretrained on 4.8 million endoscopic frames with domain-adapted representation alignment, produces high-fidelity endoscopy images and features that beat EndoViT and Endo-FM on classification benchmarks.
In: MICCAI Workshop on Deep Generative Models
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Representation-driven Endoscopic Visual Embedding Alignment for Latent Generation
REVEAL, a flow-matching generative model pretrained on 4.8 million endoscopic frames with domain-adapted representation alignment, produces high-fidelity endoscopy images and features that beat EndoViT and Endo-FM on classification benchmarks.