no code implementations • 7 Jun 2023 • Aditya Vora, Akshay Gadi Patil, Hao Zhang
We demonstrate that our approach is not only able to complete the surface geometry but also reconstructs surface details to a reasonable extent from a few disparate input views.
no code implementations • 13 Apr 2023 • Akshay Gadi Patil, Yiming Qian, Shan Yang, Brian Jackson, Eric Bennett, Hao Zhang
The dominant majority of 3D models that appear in gaming, VR/AR, and those we use to train geometric deep learning algorithms are incomplete, since they are modeled as surface meshes and missing their interior structures.
no code implementations • 21 Mar 2023 • Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang
We introduce the first active learning (AL) framework for high-accuracy instance segmentation of moveable parts from RGB images of real indoor scenes.
1 code implementation • CVPR 2021 • Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang
In particular, retrieval results by our network better match human judgement of structural layout similarity compared to both IoUs and other baselines including a state-of-the-art method based on graph neural networks and image convolution.
no code implementations • ECCV 2020 • Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang
We introduce a differential visual similarity metric to train deep neural networks for 3D reconstruction, aimed at improving reconstruction quality.
no code implementations • 1 Sep 2019 • Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor
Creating large varieties of plausible document layouts can be a tedious task, requiring numerous constraints to be satisfied, including local ones relating different semantic elements and global constraints on the general appearance and spacing.
no code implementations • 24 Jul 2018 • Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao Zhang
We present a generative neural network which enables us to generate plausible 3D indoor scenes in large quantities and varieties, easily and highly efficiently.
Graphics
no code implementations • 7 Apr 2016 • Akshay Gadi Patil, Shanmuganathan Raman
Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene.