arXiv Computer Vision
DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery
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UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity
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Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction
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AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer
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Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
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