4 citations · 9 across the 3 of their papers we have counts for
7 papers
Co-design of Embodied Neural Intelligence via Constrained Evolution
Zhiquan Wang, Bedrich Benes, Ahmed H. Qureshi +1
We introduce a novel co-design method for autonomous moving agents' shape attributes and locomotion by combining deep reinforcement learning and evolution with user control. Our ma…
Procedural Urban Forestry
Till Niese, Sören Pirk, Matthias Albrecht +2
The placement of vegetation plays a central role in the realism of virtual scenes. We introduce procedural placement models (PPMs) for vegetation in urban layouts. PPMs are environ…
SSN: Soft Shadow Network for Image Compositing
Yichen Sheng, Jianming Zhang, Bedrich Benes
We introduce an interactive Soft Shadow Network (SSN) to generates controllable soft shadows for image compositing. SSN takes a 2D object mask as input and thus is agnostic to imag…
LeRoP: A Learning-Based Modular Robot Photography Framework
Hao Kang, Jianming Zhang, Haoxiang Li +3
We introduce a novel framework for automatic capturing of human portraits. The framework allows the robot to follow a person to the desired location using a Person Re-identificatio…
PTRM: Perceived Terrain Realism Metrics
Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes +5
Terrains are visually important and commonly used in computer graphics. While many algorithms for their generation exist, it is difficult to assess the realism of a generated terra…
Efficient Project Gradient Descent for Ensemble Adversarial Attack
Fanyou Wu, Rado Gazo, Eva Haviarova +1
Recent advances show that deep neural networks are not robust to deliberately crafted adversarial examples which many are generated by adding human imperceptible perturbation to cl…