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Coverage-driven token pruning can significantly enhance the efficiency of 3D VLMs without sacrificing reasoning capabilities.
Achieving 10x faster decoding and 10x higher compactness, MSVS-VAE redefines the standards for high-fidelity 3D reconstruction.
ARDepth reveals that structured auto-regressive generation can significantly enhance monocular depth estimation by capturing local details without sacrificing global coherence.
PatternGSL achieves accurate garment reconstruction from images without templates, revolutionizing how we think about garment design and simulation.
