redner is a differentiable renderer that can take the derivatives of rendering outputs with respect to arbitrary scene parameters, that is, you can backpropagate from the image to your 3D scene. One ...
In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...
python conventional_aug.py --input --aug --output [--src-lex] [--src-lang-lex] [--chr-specific] [--src-nmt] [--tar-nmt] [--src] [--inter] [--tar] --input INPUT ...
Single-molecule super-resolution microscopy (SMLM) techniques like dSTORM can reveal biological structures down to the nanometer scale. The achievable resolution is not only defined by the ...
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