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Found 3 papers, 3 papers with code
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
In this work, we introduce the Geometry-Aware Large Reconstruction Model (GeoLRM), an approach which can predict high-quality assets with 512k Gaussians and 21 input images in only 11 GB GPU memory.
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments
Occupancy prediction reconstructs 3D structures of surrounding environments.
Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate, efficient and generalizable.
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