MoonSeg3R is the first method for online monocular 3D instance segmentation, achieving performance competitive with RGB-D systems by using CUT3R priors for geometric consistency and temporal query memory.
Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 2021
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A reconstruct-then-generate 3D latent diffusion model produces complete geometry and appearance assets from sparse in-the-wild LiDAR and camera observations of driving scenes.
citing papers explorer
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MoonSeg3R: Monocular Online Zero-Shot Segment Anything in 3D with Reconstructive Foundation Priors
MoonSeg3R is the first method for online monocular 3D instance segmentation, achieving performance competitive with RGB-D systems by using CUT3R priors for geometric consistency and temporal query memory.
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GenAssets: Generating in-the-wild 3D Assets in Latent Space
A reconstruct-then-generate 3D latent diffusion model produces complete geometry and appearance assets from sparse in-the-wild LiDAR and camera observations of driving scenes.