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cs.CV2026
Learned Image Compression for Vision-Language-Action Models
Hyeonjun Kim, Jegwang Ryu, Sangbeom Ha +4
Vision-language-action (VLA) models increasingly rely on high-frequency multi-camera observations, making visual communication a major bottleneck for real-time robotic control in b…
cs.CV2026
A Self-Supervised Approach on Motion Calibration for Enhancing Physical Plausibility in Text-to-Motion
Gahyeon Shim, Soogeun Park, Hyemin Ahn
Generating semantically aligned human motion from textual descriptions has made rapid progress, but ensuring both semantic and physical realism in motion remains a challenge. In th…