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Привет, друзья!

Собрал для вас список лекций и туториалов про 3D Human Understanding от топовых ученых из этой сферы.
Рекомендасион для всех, кто хочет основательно погрузиться в тему.

1. Andreas Geiger. Diverse Topics in Computer Vision: Human Body Models [video]
2. Michael Black. SMPL made Simple -- Introduction [video]
3. Dimitris Tzionas. SMPL from Images via Optimization [video]
4. Michael Black. SMPL: Frequently Asked Questions [video]
2. Angjoo Kanazawa. Perceiving Humans in the 3D World [video]
3. Iasonas Kokkinos. Humans, hands, and horses [video]
4. Michael Black. Meta-commerce in the Age of Avatars [video]
5. Ahmed Osman. Problems with SMPL and fixing them with STAR [video]
6. Gerard Pons-Moll. Clothing SMPL [video]
7. Siyu Tang. Putting SMPL into Scenes [video]
8. Joachim Tesch. SMPL-X Application Integrations. Using SMPL-X in Blender, Unity and Unreal [video]
9. Datasets of and for SMPL and related models [video]
10. SMPLpix: Combining SMPL and Neural Rendering [video]

@Artem
#ликбез



group-telegram.com/ai_newz/1301
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Привет, друзья!

Собрал для вас список лекций и туториалов про 3D Human Understanding от топовых ученых из этой сферы.
Рекомендасион для всех, кто хочет основательно погрузиться в тему.

1. Andreas Geiger. Diverse Topics in Computer Vision: Human Body Models [video]
2. Michael Black. SMPL made Simple -- Introduction [video]
3. Dimitris Tzionas. SMPL from Images via Optimization [video]
4. Michael Black. SMPL: Frequently Asked Questions [video]
2. Angjoo Kanazawa. Perceiving Humans in the 3D World [video]
3. Iasonas Kokkinos. Humans, hands, and horses [video]
4. Michael Black. Meta-commerce in the Age of Avatars [video]
5. Ahmed Osman. Problems with SMPL and fixing them with STAR [video]
6. Gerard Pons-Moll. Clothing SMPL [video]
7. Siyu Tang. Putting SMPL into Scenes [video]
8. Joachim Tesch. SMPL-X Application Integrations. Using SMPL-X in Blender, Unity and Unreal [video]
9. Datasets of and for SMPL and related models [video]
10. SMPLpix: Combining SMPL and Neural Rendering [video]

@Artem
#ликбез

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"The argument from Telegram is, 'You should trust us because we tell you that we're trustworthy,'" Maréchal said. "It's really in the eye of the beholder whether that's something you want to buy into." The last couple days have exemplified that uncertainty. On Thursday, news emerged that talks in Turkey between the Russia and Ukraine yielded no positive result. But on Friday, Reuters reported that Russian President Vladimir Putin said there had been some “positive shifts” in talks between the two sides. "There are several million Russians who can lift their head up from propaganda and try to look for other sources, and I'd say that most look for it on Telegram," he said. "Your messages about the movement of the enemy through the official chatbot … bring new trophies every day," the government agency tweeted. On December 23rd, 2020, Pavel Durov posted to his channel that the company would need to start generating revenue. In early 2021, he added that any advertising on the platform would not use user data for targeting, and that it would be focused on “large one-to-many channels.” He pledged that ads would be “non-intrusive” and that most users would simply not notice any change.
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