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3D Gaussian Splatting as Markov Chain Monte Carlo
While 3D Gaussian Splatting has recently become popular for neural rendering, current methods rely on carefully engineered cloning and splitting strategies for placing Gaussians, which does not always generalize and may lead to poor-quality renderings.
Accelerating Neural Field Training via Soft Mining
We present an approach to accelerate Neural Field training by efficiently selecting sampling locations.
Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos
We present a novel method for identification of the boundary of embryonic cells (blastomeres) in Hoffman Modulation Contrast (HMC) microscopic images that are taken between day one to day three.
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