Photorealism in Driving Simulations: Blending Generative Adversarial Image Synthesis With Rendering
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Funder
United States Department of Transportation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9972869/09843916.pdf?arnumber=9843916
Reference54 articles.
1. Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
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4. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning
5. RenderNet: A deep convolutional network for differentiable rendering from 3D shapes;nguyen-phuoc;Proc Adv Neural Inf Process Syst,2018
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1. Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset;Journal of ICT Research and Applications;2023-08-31
2. Effects of Sim2Real Image Translation via DCLGAN on Lane Keeping Assist System in CARLA Simulator;IEEE Access;2023
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