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Duc-Hai Pham

2 accepted papers

2025

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

AAAI 2025technical

Accurate prediction of 3D semantic occupancy from 2D visual images is vital in enabling autonomous agents to comprehend their surroundings for planning and navigation. State-of-the-art methods typically employ fully supervised approaches, necessitating a huge labeled dataset acquired through expensi…

Cited by 0SourcePDFScholar
2025

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation

CVPR 2025poster

We propose SharpDepth, a novel approach to monocular metric depth estimation that combines the metric accuracy of discriminative depth estimation methods (e.g., Metric3D, UniDepth) with the fine-grained boundary sharpness typically achieved by generative methods (e.g., Marigold, Lotus). Traditional…

Cited by 2SourcePDFScholar