A text-to-image model is a machine learning model which takes as input a natural language description and produces an image matching that description. Such models began to be developed in the mid-2010s, as a result of advances in deep neural networks. In 2022, the output of state of the art text-to-image models, such as OpenAI's DALL-E 2, Google Brain's Imagen and StabilityAI's Stable Diffusion began to approach the quality of real photographs and human-drawn art. Text-to-image models generally combine a language model, which transforms the input text into a latent representation, and a generative image model, which produces an image conditioned on that representation. The most effective models have generally been trained on massive amounts of image and text data scraped from the web. (Wikipedia).
Image Recognition and Python Part 1
Sample code for this series: http://pythonprogramming.net/image-recognition-python/ There are many applications for image recognition. One of the largest that people are most familiar with would be facial recognition, which is the art of matching faces in pictures to identities. Image rec
From playlist Image Recognition
Type text - make things in 3d! Like an armchair in the shape of an avocado. The utility of CLIP seems endless, and now you can even make things in 3D simply using the power of the written word. Text 2 3D is now a thing, and this video shows you a couple of them :) 1 . Dream Fields - https
From playlist Python AI Apps
How To Create A Speech-To-Text & Text-To-Speech App In C# | Session 05 | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App
How To Create A Speech-To-Text & Text-To-Speech App In C# | Session 04 | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App
How To Create A Speech-To-Text & Text-To-Speech App In C# | Session 01 | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App
How To Create A Speech-To-Text & Text-To-Speech App In C# | Introduction | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App
How To Create A Speech-To-Text & Text-To-Speech App In C# | Session 06 | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App
How To Create A Speech-To-Text & Text-To-Speech App In C# | Session 03 | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App
Google Docs: Text Boxes and Shapes
In this video, you’ll learn more about adding text boxes and shapes in Google Docs. Visit https://edu.gcfglobal.org/en/googledocuments/inserting-text-boxes-and-shapes/1/ for our text-based lesson. We hope you enjoy!
From playlist Google Docs
[ML News] Text-to-Image models are taking over! (Imagen, DALL-E 2, Midjourney, CogView 2 & more)
#mlnews #dalle #imagen All things text-to-image models like DALL-E and Imagen! OUTLINE: 0:00 - Intro 0:30 - Imagen: Google's Text-to-Image Diffusion Model 7:15 - Unified I/O by AllenAI 9:40 - CogView2 is Open-Source 11:05 - Google bans DeepFakes from Colab 13:05 - DALL-E generates real
From playlist Generative Models
OpenAI CLIP: ConnectingText and Images (Paper Explained)
#ai #openai #technology Paper Title: Learning Transferable Visual Models From Natural Language Supervision CLIP trains on 400 million images scraped from the web, along with text descriptions to learn a model that can connect the two modalities. The core idea is a contrastive objective co
From playlist Papers Explained
OpenAI CLIP Explained | Multi-modal ML
OpenAI's CLIP explained simply and intuitively with visuals and code. Language models (LMs) can not rely on language alone. That is the idea behind the "Experience Grounds Language" paper, that proposes a framework to measure LMs' current and future progress. A key idea is that, beyond a c
From playlist Computer Vision and Search Course
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation
#blip #review #ai Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language models together. However, there are a number of issues, such as low quality datasets that limit the performance of any model trained on it, and also the fact t
From playlist Papers Explained
CM3: A Causal Masked Multimodal Model of the Internet (Paper Explained w/ Author Interview)
#cm3 #languagemodel #transformer This video contains a paper explanation and an incredibly informative interview with first author Armen Aghajanyan. Autoregressive Transformers have come to dominate many fields in Machine Learning, from text generation to image creation and many more. How
From playlist Papers Explained
Movie Diffusion explained | Make-a-Video from MetaAI and Imagen Video from Google Brain
Video Diffusion models explained: MetaAI’s Make-a-Video diffusion model and Imagen Video from Google Research. Sponsor: Encord 👉 https://bit.ly/3V4PoRb Thanks to our Patrons who support us in Tier 2, 3, 4: 🙏 Don Rosenthal, Dres. Trost GbR, Edvard Grødem, Vignesh Valliappan, Mutual Info
From playlist Diffusion models explained
Make-A-Video: Text-To-Video Generation Without Text-Video Data | Paper Explained
🚀 Find out how to get started using Weights & Biases 🚀 http://wandb.me/ai-epiphany 👨👩👧👦 Join our Discord community 👨👩👧👦 https://discord.gg/peBrCpheKE In this video I cover the latest text-to-video paper from Meta: "Make-A-Video: Text-To-Video Generation Without Text-Video Data". I
From playlist Video
Visual Document Understanding with Multi-Modal Image & Text Mining in Spark OCR 3 | Webinar
Spark NLP and Spark OCR Free Trials are available here: https://www.johnsnowlabs.com/spark-nlp-try-free/ The Transformer architecture in NLP has truly changed the way we analyze text. NLP models are great at processing digital text, but many real-word applications use documents with more
From playlist AI & NLP Webinars
Diffusion models explained. How does OpenAI's GLIDE work?
Diffusion models beat GANs in image synthesis, GLIDE generates images from text descriptions, surpassing even DALL-E in terms of photorealism! Check out this video to learn how diffusion models work. Enjoy the visuals! SPONSOR: Weights & Biases 👉 https://wandb.me/ai-coffee-break ❓ Check o
From playlist Ms. Coffee Bean's Multimodalities
Imagen, the DALL-E 2 competitor from Google Brain, explained 🧠| Diffusion models illustrated
Imagen from Google Brain 🧠 is competing with DALLE-2 when it comes to generating amazing images from just text! Here is an overview of Imagen, DALLE-2 and GLIDE, which are all diffusion-based text-to-image generators. SPONSOR: Weights & Biases 👉 https://wandb.me/ai-coffee-break 📺 Diffusi
From playlist Ms. Coffee Bean's Multimodalities
How To Create A Speech-To-Text & Text-To-Speech App In C# | Session 02 | #C | #programming
Don’t forget to subscribe! This project series will guide you on how to create a Speech-To-Text & Text-To-Speech App In C#. We are going to create an app that would respond to voice commands and changes speech into text and text into speech with a very easy process. We are going to use
From playlist Create A Speech-To-Text & Text-To-Speech App