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Infinite Nature: Fly into an image and explore it like a bird!
May 01, 2021
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References: ►Read the full article:
https://www.louisbouchard.ai/infinite-nature/
►Paper: Liu, A., Tucker, R., Jampani, V., Makadia, A., Snavely, N. and Kanazawa, A., 2020. Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image,
https://arxiv.org/pdf/2012.09855.pdf
►Project link:
https://infinite-nature.github.io/
►Code:
https://github.com/google-research/google-research/tree/master/infinite_nature
►Colab demo:
https://colab.research.google.com/github/google-research/google-research/blob/master/infinite_nature/infinite_nature_demo.ipynb#scrollTo=sCuRX1liUEVM
►MiDaSL: Ranftl et al., 2020, Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer,
https://github.com/intel-isl/MiDaS
►SPADE: Park et al., 2019, Semantic Image Synthesis with Spatially-Adaptive Normalization,
https://github.com/NVlabs/SPADE
Follow me for more AI content: ►Support me on Patreon:
https://www.patreon.com/whatsai
►Subscribe to my newsletter:
http://eepurl.com/huGLT5
►Contact:
https://www.louisbouchard.me/contact/
►My blog:
https://www.louisbouchard.me/tag/artificial-intelligence/
Join Our Discord channel, Learn AI Together: ►
https://discord.gg/learnaitogether
The best courses in AI & Guide+Repository on how to start: ►
https://www.louisbouchard.me/learnai/
Become a member of the YouTube community, support my work and get a cool Discord role :
https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg/join
Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise. 0:38 Perpetual View Generation 1:16 Step 0: The disparity map 1:35 Step 1: 3D Rendering 2:54 Step 2: Refinement 3:40 Step 3: Repeat 4:03 The Dataset 4:27 Try out the demo! 4:54 My new website and blog + @NVIDIA Giveaway winners #imagesynthesis #artificialintelligence #viewsynthesis
Category: Applied Research
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