NVIDIA Research's GauGAN AI Art Demo Responds to Words ...
2021年11月22日 · A picture worth a thousand words now takes just three or four words to create, thanks to GauGAN2, the latest version of NVIDIA Research’s wildly popular AI painting demo. The deep learning model behind GauGAN allows anyone to channel their imagination into photorealistic masterpieces — and it’s easier than ever.
Synthesizing High-Resolution Images with StyleGAN2 | NVIDIA ...
2020年6月17日 · Over the years, NVIDIA researchers have contributed several breakthroughs to GANs. This new project called StyleGAN2 , presented at CVPR 2020, uses transfer learning to generate a seemingly infinite numbers of portraits in an infinite variety of painting styles.
The AI Playground | NVIDIA Research
Experience AI Models On the Fly. The AI Playground on NGC™ offers an easy-to-use interface that allows you to quickly try generative AI models such as NeVA, SDXL, Llama 2, and CLIP directly from your browser. Learn More. Generative AI.
GitHub - NVlabs/stylegan3: Official PyTorch implementation of ...
1–8 high-end NVIDIA GPUs with at least 12 GB of memory. We have done all testing and development using Tesla V100 and A100 GPUs. 64-bit Python 3.8 and PyTorch 1.9.0 (or later).
Generating and Editing High-Resolution ... - NVIDIA Developer
2018年6月19日 · Researchers from NVIDIA, led by Ting-Chun Wang, have developed a new deep learning -based system that can generate photorealistic images from high-level labels, and at the same time create a virtual environment that allows the user to modify a scene interactively.
GitHub - NVlabs/stylegan2: StyleGAN2 - Official TensorFlow ...
Abstract: The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model …
GauGAN Turns Doodles into Stunning, Realistic ... - NVIDIA Blog
2019年3月18日 · But a deep learning model developed by NVIDIA Research can do just the opposite: it turns rough doodles into photorealistic masterpieces with breathtaking ease. The tool leverages generative adversarial networks, or GANs, …
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