Search Results for author:
Found 3 papers, 0 papers with code
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow
To provide training data for this task, we introduce a large-scale densely-annotated synthetic dataset containing 60k images within 30 scenes tailored for non-Lambertian objects.
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar
Neural fields have been broadly investigated as scene representations for the reproduction and novel generation of diverse outdoor scenes, including those autonomous vehicles and robots must handle.
HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces
Recent advances in neural implicit surfaces for multi-view 3D reconstruction primarily focus on improving large-scale surface reconstruction accuracy, but often produce over-smoothed geometries that lack fine surface details.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
