An NN takes a list of category names, and outputs (in a zero-shot manner) a visual classifier.
— Ilya Sutskever (@ilyasut) January 5, 2021
It beats RN50 on ImageNet zero-shot, while being far more robust to unusual images:https://t.co/dGdtFlbI7G pic.twitter.com/tjYdMfFcfe
Impressive and surprising https://t.co/9QpeWbhQFU I use those words sparingly pic.twitter.com/X0TC6h4fh2
— Andrej Karpathy (@karpathy) January 5, 2021
Congrats @OpenAI on really cool image generation result from a text+image prompt! Here's my favorite set of generated examples: pic.twitter.com/sGXFNOc93n
— Andrew Ng (@AndrewYNg) January 5, 2021
— Kyunghyun Cho (@kchonyc) January 5, 2021
Wow.@OpenAI has trained a model that can create new images - you just describe them in English. 🤯https://t.co/qxDreBM2Qx pic.twitter.com/TWYwkfeblY
— Jeremy Howard (@jeremyphoward) January 5, 2021
Real-Time High-Resolution Background Matting
— AK (@ak92501) December 31, 2020
pdf: https://t.co/XUkgi62KJb
Use it in @runwayml: https://t.co/Qji6opRQeT
Trained stylegan on high resolution Islamic mosaic art. You can find all resources below and even do interpolation and other fun stuff.
— Zaid زيد (@zaidalyafeai) December 27, 2020
GitHub: https://t.co/j2jWgW8Mdv
Colab: https://t.co/AziONqbdI2 pic.twitter.com/ekPVIELSr0
Efficient transformer architectures for vision.
— Yann LeCun (@ylecun) December 24, 2020
Open source. https://t.co/MTCgPRgr6k
Training data-efficient image transformers & distillation through attention
— AK (@ak92501) December 24, 2020
pdf: https://t.co/52o44tGC5G
abs: https://t.co/XohbkS7kq5
github: https://t.co/KpkMSwfKdp pic.twitter.com/KP24f00vT4
Hypersim: Photorealistic Synthetic Dataset for Indoor Scene Understanding
— hardmaru (@hardmaru) December 22, 2020
Photorealistic synthetic scenes have the advantage of giving us as many ground truth layers as we want to train an ML system. But is it enough for sim2real?https://t.co/U4qXXKn6qFhttps://t.co/rTnWT4XvEE pic.twitter.com/aRa5K6unWh
Taming Transformers for High-Resolution Image Synthesis
— AK (@ak92501) December 18, 2020
pdf: https://t.co/fRwnXjKahS
abs: https://t.co/s9e42zZrrV
project page: https://t.co/aiA2PlSODq pic.twitter.com/emVvlP2vcg
Learning Continuous Image Representation with Local Implicit Image Function
— AK (@ak92501) December 17, 2020
pdf: https://t.co/7vbPTVlZ4J
abs: https://t.co/S01c0mVUOj
project page: https://t.co/fzclFcwg73
github: https://t.co/B2HyUqNDXG pic.twitter.com/NkCdtuApo1
