SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
SPACE-CLIP introduces a decoder-only depth framework that reads geometric cues directly from a frozen CLIP vision encoder. It bypasses text prompts at inference time to provide dense spatial perception for robotics and autonomous systems. The model uses a dual-pathway architecture to separate scene context from local geometry, achieving strong depth estimation while maintaining modularity.