activity
20182022
most citedDiversity-Sensitive Conditional Generative Adversarial Networks

126 citations · 170 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

AvatarGen: A 3D Generative Model for Animatable Human Avatars

Jianfeng Zhang, Zihang Jiang, Dingdong Yang +6

Unsupervised generation of 3D-aware clothed humans with various appearances and controllable geometries is important for creating virtual human avatars and other AR/VR applications…

cs.CV2022★ 2 cited

AvatarGen: a 3D Generative Model for Animatable Human Avatars

Jianfeng Zhang, Zihang Jiang, Dingdong Yang +6

Unsupervised generation of clothed virtual humans with various appearance and animatable poses is important for creating 3D human avatars and other AR/VR applications. Existing met…

cs.CV2022

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration

Yuzhi Zhao, Yongzhe Xu, Qiong Yan +3

Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system. Directly adjusting exposure time and ISO ratings ca…

cs.LG2019★ 126 cited

Diversity-Sensitive Conditional Generative Adversarial Networks

Dingdong Yang, Seunghoon Hong, Yunseok Jang +2

We propose a simple yet highly effective method that addresses the mode-collapse problem in the Conditional Generative Adversarial Network (cGAN). Although conditional distribution…

cs.CV2018★ 42 cited

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis

Seunghoon Hong, Dingdong Yang, Jongwook Choi +1

We propose a novel hierarchical approach for text-to-image synthesis by inferring semantic layout. Instead of learning a direct mapping from text to image, our algorithm decomposes…