4 citations · 4 across the 1 of their papers we have counts for
6 papers
Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation
Jiong Tao, Yong-Liang Yang, Bailin Deng
Planar quadrilateral (PQ) mesh generation is a key process in computer-aided design, particularly for architectural applications where the goal is to discretize a freeform surface…
Parametric Reshaping of Portraits in Videos
Xiangjun Tang, Wenxin Sun, Yong-Liang Yang +1
Sharing short personalized videos to various social media networks has become quite popular in recent years. This raises the need for digital retouching of portraits in videos. How…
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
Thu Nguyen-Phuoc, Christian Richardt, Long Mai +2
We present BlockGAN, an image generative model that learns object-aware 3D scene representations directly from unlabelled 2D images. Current work on scene representation learning e…
Rank3DGAN: Semantic mesh generation using relative attributes
Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang +1
In this paper, we investigate a novel problem of using generative adversarial networks in the task of 3D shape generation according to semantic attributes. Recent works map 3D shap…
HoloGAN: Unsupervised learning of 3D representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis +2
We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Most generative models rely on 2D kernels t…
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban +1
Traditional computer graphics rendering pipeline is designed for procedurally generating 2D quality images from 3D shapes with high performance. The non-differentiability due to di…