Any to Full: Prompting Depth Anything for Depth Completion in One Stage
Any to Full: Prompting Depth Anything for Depth Completion in One Stage explores Any2Full is a one-stage depth completion framework that leverages a pretrained monocular depth estimation model with scale-aware prompting for robust and efficient depth completion, outperforming existing methods.. Commercial viability score: 8/10 in Depth Completion.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On This$D^3$-RSMDE: 40$\times$ Faster and High-Fidelity Remote Sensing Monocular Depth EstimationViability: 7.0
- Builds On ThisTest-Time Adaptation for Height Completion via Self-Supervised ViT Features and Monocular Foundation ModelsViability: 7.0
- Builds On ThisLightweight Prompt-Guided CLIP Adaptation for Monocular Depth EstimationViability: 6.0
- Builds On ThisIris: Bringing Real-World Priors into Diffusion Model for Monocular Depth EstimationViability: 2.0
- Builds On ThisDeepSight: Bridging Depth Maps and Language with a Depth-Driven Multimodal Model