Learned Image Compression for Vision-Language-Action Models
SPARC is a learned image compression framework designed for Vision-Language-Action (VLA) systems to efficiently use limited bandwidth. It adaptively allocates bitrate across an image based on which spatial regions are most important for downstream robotic control. The method uses a temporal mask selector to prioritize task-critical details, resulting in stronger control performance than conventional codecs at the same data budget.