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The Hong Kong University of Science and Technology
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SPAR bridges the critical gap between semantic perception and pixel-level generation, achieving unprecedented quality in visual outputs without external supervision.
Decoupling radial and angular dynamics in vision-language model adaptation unlocks significant gains in few-shot performance, outperforming existing flow matching methods.
Forget finetuning rare tokens: MoKus leverages cross-modal knowledge transfer to bind diverse textual knowledge to visual concepts, achieving high-fidelity customized generation.
