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README.md

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@@ -891,6 +891,13 @@ Shape My Face (SMF) is a point cloud to mesh auto-encoder for the registration o
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<p align="center"><img width="60%" src="imgs/ShapeMyFace.png" /></p>
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:game_die: <b>Learning Implicit Fields for Generative Shape Modeling (2019)</b> [[Paper]](https://arxiv.org/abs/1812.02822) [[Code]](https://github.com/timzhang642/3D-Machine-Learning)
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We advocate the use of implicit fields for learning generative models of shapes and introduce an implicit field decoder, called IM-NET, for shape generation, aimed at improving the visual quality of the generated shapes. An implicit field assigns a value to each point in 3D space, so that a shape can be extracted as an iso-surface. IM-NET is trained to perform this assignment by means of a binary classifier. Specifically, it takes a point coordinate, along with a feature vector encoding a shape, and outputs a value which indicates whether the point is outside the shape or not. By replacing conventional decoders by our implicit decoder for representation learning (via IM-AE) and shape generation (via IM-GAN), we demonstrate superior results for tasks such as generative shape modeling, interpolation, and single-view 3D reconstruction, particularly in terms of visual quality.
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<p align="center"><img width="60%" src="imgs/IM_NET.png" /></p>
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<a name="material_synthesis" />
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## Texture/Material Analysis and Synthesis

imgs/IM_NET.png

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