Browsing 2023 by Subject "Deep Learning"
Now showing items 1-2 of 2
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Neural Networks for Digital Materials and Radiance Encoding
(2023-07)Realistic virtual scenes are becoming increasingly prevalent in our society, with a wide range of applications in areas such as manufacturing, architecture, fashion design, and entertainment, including movies, video games, ... -
Self-Supervised Shape and Appearance Modeling via Neural Differentiable Graphics
(2023)Inferring 3D shape and appearance from natural images is a fundamental challenge in computer vision. Despite recent progress using deep learning methods, a key limitation is the availability of annotated training data, as ...