Papers
1–3 of 3Research Paper·Mar 11, 2026
AsyncMDE: Real-Time Monocular Depth Estimation via Asynchronous Spatial Memory
Foundation-model-based monocular depth estimation offers a viable alternative to active sensors for robot perception, yet its computational cost often prohibits deployment on edge platforms. Existing ...
8.0 viability
Research Paper·Mar 17, 2026
PureCLIP-Depth: Prompt-Free and Decoder-Free Monocular Depth Estimation within CLIP Embedding Space
We propose PureCLIP-Depth, a completely prompt-free, decoder-free Monocular Depth Estimation (MDE) model that operates entirely within the Contrastive Language-Image Pre-training (CLIP) embedding spac...
8.0 viability
Research Paper·Mar 17, 2026
Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation
In this paper, we propose \textbf{Iris}, a deterministic framework for Monocular Depth Estimation (MDE) that integrates real-world priors into the diffusion model. Conventional feed-forward methods re...
2.0 viability