44 citations · 46 across the 6 of their papers we have counts for
7 papers
Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation
Nikitas Chatzis, Marios Loizou, Evangelos Kalogerakis
Recent 3D generative models can synthesize high-quality assets, but their outputs are typically static: they lack the skeletal rigs, joint hierarchies, and skinning weights require…
Im2SurfTex: Surface Texture Generation via Neural Backprojection of Multi-View Images
Yiangos Georgiou, Marios Loizou, Melinos Averkiou +1
We present Im2SurfTex, a method that generates textures for input 3D shapes by learning to aggregate multi-view image outputs produced by 2D image diffusion models onto the shapes'…
FacadeNet: Conditional Facade Synthesis via Selective Editing
Yiangos Georgiou, Marios Loizou, Tom Kelly +1
We introduce FacadeNet, a deep learning approach for synthesizing building facade images from diverse viewpoints. Our method employs a conditional GAN, taking a single view of a fa…
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
Gopal Sharma, Bidya Dash, Aruni RoyChowdhury +7
We present PriFit, a semi-supervised approach for label-efficient learning of 3D point cloud segmentation networks. PriFit combines geometric primitive fitting with point-based rep…
BuildingNet: Learning to Label 3D Buildings
Pratheba Selvaraju, Mohamed Nabail, Marios Loizou +5
We introduce BuildingNet: (a) a large-scale dataset of 3D building models whose exteriors are consistently labeled, (b) a graph neural network that labels building meshes by analyz…
Learning Part Boundaries from 3D Point Clouds
Marios Loizou, Melinos Averkiou, Evangelos Kalogerakis
We present a method that detects boundaries of parts in 3D shapes represented as point clouds. Our method is based on a graph convolutional network architecture that outputs a prob…
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Marios Loizou, Siddhant Garg, Dmitry Petrov +2
We present a deep learning method that propagates point-wise feature representations across shapes within a collection for the purpose of 3D shape segmentation. We propose a cross-…