Understanding 2D ShapesIn this chapter, you will learndoi:10.1007/978-1-4842-7848-2_14Sharan, KishoriSpth, Peter
A comparison of 2D image captioning and 3D-DC can be found in Table 1. However, due to the sparsity of 3D point clouds and the cluttered spatial distribution of objects (Chen, Zhu, et al., 2023, Chen, Zhu, et al., 2024), describing objects within a 3D scene remains a particularly ...
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...
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 ...
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 ...
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. ...
- 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 ...
Shape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional InputsCVPR Workshop 2023 U2RLE: Uncertainty-Guided 2-Stage Room Layout EstimationCVPR 2023 Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with ...
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...
In this paper, we explore how the observation of different articulation states provides evidence for part structure and motion of 3D objects. Our method takes as input a pair of unsegmented shapes representing two different articulation states of two functionally related objects, and induces their ...