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Found 3 papers, 1 papers with code
GARF:Geometry-Aware Generalized Neural Radiance Field
To address these issues, we propose Geometry-Aware Generalized Neural Radiance Field (GARF) with a geometry-aware dynamic sampling (GADS) strategy to perform real-time novel view rendering and unsupervised depth estimation on unseen scenes without per-scene optimization.
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision
Projection map (PM) from optical coherence tomography (OCT) B-scan is an important tool to diagnose retinal diseases, which typically requires retinal layer segmentation.
Geometric Granularity Aware Pixel-To-Mesh
Pixel-to-mesh has wide applications, especially in virtual or augmented reality, animation and game industry.
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