Two-hot/SAM-SGT

SGT: Semantic Generative Tuning for Unified Multimodal Models This repository hosts checkpoints fine-tuned with Semantic Generative Tuning (SGT) — a training paradigm that couples visual understanding and generation in Unified Multimodal Models (UMMs) by using image segmentation as a generative proxy. Unified multimodal models typically optimize understanding and generation with misaligned objectives (sparse text tokens vs. dense pixel targets), which isolates the two capabilities.… See the full description on the dataset page: https://huggingface.co/datasets/Two-hot/SAM-SGT.

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