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Machinelearning

Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ . ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ , Π½Π΅ΠΉΡ€ΠΎΠ½Π½Ρ‹Π΅ сСти . ΠΊΠ°Π½Π°Π» с самой свСТСй ΠΈ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠ΅ΠΉ ΠΈΠ· ΠΌΠΈΡ€Π° it

Machinelearning

4 Π³ΠΎΠ΄Π° Π½Π°Π·Π°Π΄
ΠžΡ‚ΠΊΡ€Ρ‹Ρ‚ΡŒ Π²
πŸ”₯ EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks by Nvidia Expressive hybrid explicit-implicit network architecture that, together with other design choices, synthesizes not only high-resolution multi-view-consistent images in real time but also produces high-quality 3D geometry. Github: https://github.com/NVlabs/eg3d Project: https://nvlabs.github.io/eg3d/ Video: https://www.youtube.com/watch?v=cXxEwI7QbKg&feature=emb_logo&ab_channel=StanfordComputationalImagingLab Paper: https://nvlabs.github.io/eg3d/media/eg3d.pdf @ai_machinelearning_big_data