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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