Understanding 2D ShapesIn this chapter, you will learndoi:10.1007/978-1-4842-7848-2_14Sharan, KishoriSpth, Peter
- Boundary extraction from 2D/3D shapes - Geometric deep learning on 3D and higher dimensions - Generative methods for parametric representations - Novel shape descriptors and embeddings for geometric deep learning - Deep learning on non-Euclidean geometries - Transformation invariant shape abstractions -...
3D scene from an input image (or a set of multi-view images), whereby the contents of the image(s) are causally explained in terms of models of instantiated objects, each with their own type, shape, appearance and pose, along with global variables like scene lighting and camera parameters...
You may think that the main use of depth is in landscape photography, capturing vast vistas that run off to the horizon. But actually depth is important in almost all photos. Without depth your subjects would have no form, and just be 2D shapes. WL X1600byRichard Melansonon Flickr (licen...
3d). The COF fragments in Fig. 3a,b are saturated with additional hydrogen atoms and the NICS maps resemble those of the monomers in Fig. 2. The NICS values of all fragments are added in Fig. 3c. Interestingly, this yields values very similar to the ones of a completely closed 2D COF...
Compared with six types from eighteen reported aerophilic surfaces13,16,21,26,29,30,35,36,37,38 (the bubble approach velocity mainly ranges from 0.37 to 0.14 m/s), most of which primarily focus on controlling nanoaggregate sizes and shapes through intricate bottom-up fabrication to form ...
For effective zero-shot 3D classification, the model needs to understand and recognize 3D shapes from different viewpoints without direct training on these specific views. This requires having accurate and informative multi-view representations of the 3D objects. However, the exploration of a suitable ...
3D Chairs Celeba 2D Shapes / Dsprites The dataset will be downloaded the first time you run it and will be stored in data for future uses. The download will take time and might not work anymore if the download links change. In this case either: Open an issue Change the URLs (urls["tr...
Phase-field method (PFM) has become a mainstream computational method for predicting the evolution of nano and mesoscopic microstructures and properties during materials processes. The paper briefly reviews latest progresses in applying PFM to understanding the thermodynamic driving forces and mechanisms unde...
Structured3D2020RGB-D196515AW+SSStructured3D LayoutMP3D2020RGB-D2505MW+SSMatterport 2D-3D-S2018RGB-D571Cuboid2D-3D-S PanoContext2014RGB500CuboidSUN360 PapersVenueLinks Manhattan Junction Catalogue for Spatial Reasoning of Indoor ScenesCVPR 2013- Plane...