RegimeVGGT applies layer-wise U-shaped compression via saliency-guided banded merging and selectively protected K/V downsampling to deliver 6.7x speedup on VGGT at matched reconstruction quality.
Dymu: Dynamic merging and virtual unmerging for efficient vlms.arXiv preprint arXiv:2504.17040, 2025
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CIVIC is a path-consistent compact visual inference framework that reduces KV-cache memory to approximately one-third and end-to-end latency in VLMs while preserving accuracy via text-aligned KL distillation and adaptive spatial retention.
citing papers explorer
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RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
RegimeVGGT applies layer-wise U-shaped compression via saliency-guided banded merging and selectively protected K/V downsampling to deliver 6.7x speedup on VGGT at matched reconstruction quality.
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CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models
CIVIC is a path-consistent compact visual inference framework that reduces KV-cache memory to approximately one-third and end-to-end latency in VLMs while preserving accuracy via text-aligned KL distillation and adaptive spatial retention.