🔥 A Survey on Diffusion Models 🔥

👉A comprehensive review of denoising diffusion models in #computervision 🤯

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Overview on diffusion models
✅Hot trend for the generative AI
✅A multi-perspective categorization
✅Current limitations / new directions

More: https://bit.ly/3RYG5zP

🙏 A quick poll for helping me in improving the quality of the contents about #computervision.

Please give me a feedback here: https://t.ly/qXb4C

Thanks :)

🔥Florence-2: unified Computer Vision🔥

👉#Microsoft announces Florence-2: novel foundation model with unified, prompt-based, representation for a large variety of #computervision & vision-language task. One backbone -> multiple tasks!

👉Review https://t.ly/pOins
👉Paper arxiv.org/pdf/2311.06242.pdf
👉Project www.microsoft.com/en-us/research/project/projectflorence/

🔥 "Deep Gen-AI" Full Course 🔥

👉A fresh course from Stanford about the probabilistic foundations and algorithms for deep generative models. A novel overview about the evolution of the genAI in #computervision, language and more...

👉Review https://t.ly/ylBxq
👉Course https://lnkd.in/dMKH9gNe
👉Lectures https://lnkd.in/d_uwDvT6

🐉 #DoubleDragon with #AI 🐉

👉How Double Dragon would look like in real life? Each character has been transformed with #AI to capture their style, fighting spirit, and charisma, as if they had stepped right out of the game’s streets into the real world. AUDIO ON. Damn romantic💙

#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse #LLM

👉Post https://t.ly/0IpER
👉Channel https://www.youtube.com/@iaiaoh84