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Revolutionary AI Tools Revealed at Adobe MAX - Image Generation, Video Editing, and More

Author: MattVidPro AITime: 2024-01-30 22:25:00

Table of Contents

Introduction to the Latest AI News

Hello everyone! Welcome to my AI news roundup blog. In this post, we will be covering some of the most exciting recent developments in AI technology across several key companies and open source initiatives. From revolutionary new features unveiled at Adobe MAX 2022 to impressive new open source language and video generation models, there is a lot of groundbreaking work happening in AI right now.

To start things off, we will provide an overview and brief history of the AI news roundup series on this blog for those who may be new. Then we will dive right into the meaty AI announcements, including Google's new AI image generation capabilities, the launch of Mistral 7B, an extremely efficient open source language model, and more.

Overview of the AI News Roundup Blog

The AI News Roundup is a recurring segment on this blog where we cover and analyze the most important and impressive new happenings across artificial intelligence. The goal is to keep readers informed about cutting edge advancements and discussions in the world of AI. We have been posting these roundups for over a year now. In that time, we have seen astounding progress across natural language processing, computer vision, generative models, and much more. With each post, there are always new technologies that surprise even experienced AI enthusiasts like myself.

Google Unveils AI Image Generation Capabilities

One of our first pieces of news comes from Google itself. They have introduced AI image generation directly into Google Search. While access is still limited, it clearly signals Google's ambitions in pursuing generative AI across their products.

Users can now leverage AI to generate unique images according to text prompts right in Google Search. This expands on Google's existing image search to essentially create inspirational images personalized to you.

However, despite Google's impressive history with image generation, the quality and capability of this model leaves something to be desired. The images, while reasonable, lack the photorealism, coherence, and overall fidelity seen in models like DALL-E 2 and Imagen. Google still has some catching up to do it seems.

Google's Party Model Demo From 2022

Google does have experience building high-quality generative image models. Over a year ago, they revealed an internal prototype called "Party Model" which showed incredible prompt engineering, image quality and variety. Party Model responded to text prompts with colorful, diverse images that intelligently interpreted the semantic meaning behind prompts in a way superior to other models at the time. If Google wants to compete with the likes of OpenAI and Anthropic, releasing Party Model publicly could go a long way towards re-establishing their generative credentials.

AI Image Search - A Promising Idea Still in Development

The idea behind Google's new image search integration is certainly promising. Using AI to enhance inspiration and creativity during an image search makes complete sense and fits seamlessly into existing workflows. And the underlying capability to generate images according to user text is already functioning at a basic level. However, the quality and capability noticeably falls short of other companies working in this space. The images tend to be messy and incoherent, lacking the sharpness and fidelity needed for most use cases. As the models continue to improve, this could become a popular feature.

Mistral 7B - Impressive Open Source Language Model

In open source AI news, a model dubbed Mistral 7B was recently released publicly. With only 7 billion parameters, it displays capability competitive with closed-source models over 10x its size!

Mistral 7B is able to match or even outperform larger models on challenging NLP datasets requiring reasoning, mathematical understanding, and code generation.

This demonstrates the incredible progress and efficiency coming out of open source AI research. While Mistral 7B cannot yet compete directly with GPT-3.5, its parameter efficiency is setting new records. And its fully open source nature will allow rapid iteration and improvement from the community at large.

Show 1 - Groundbreaking Open Source Video Generation

In addition to impressive progress in language models, open source researchers have also released Show 1 - the most capable publicly available video generation model ever created.

While Show 1 has noticeable flaws and artifacts compared to private competitors, its ability to coherently generate 16:9 video according to text prompts puts it lightyears ahead of previous open source attempts.

The Show 1 model can generate fairly realistic images of complex concepts like 'a panda doing karate' or 'a snail crawling along slowly'. Text grounding also impresses with the model's ability to display prompt text naturally. This early benchmark promises rapid open source video model progress.

Show 1 Video Samples and Model Comparisons

The creators of Show 1 demonstrated its video generation capabilities through numerous text prompt samples. These videos showcase coherent images of concepts like animals in context and slow close-up footage. In side-by-side comparisons, Show 1 dramatically outperforms previous open source models Zero-Shot Video and VideoGPT. Realism and prompt relevance allow it to come surprisingly close to commercial models like Imagen Video in some cases. As an initial offering, Show 1 represents hugely promising progress in open source video AI. With continuous community improvements, later Show models may soon match or exceed closed competitors.

Revolutionary New AI Features Unveiled at Adobe MAX 2022

Saving the most shocking for last, Adobe recently revealed a suite of mind-blowing new AI capabilities at its annual MAX conference, spanning video, images, text and more.

From video editing with generative scene fills to intuitive 3D character posing via images, these demos prove Adobe intends to lead the industry with its integration of bleeding edge generative AI.

While initial quality proves uneven, the sheer breadth of offerings across Adobe's ecosystem points to exponential creative potential as the models quickly advance. The lines between human creation and AI assistance are blurring rapidly.

Generative Video Editing and Scene Fills

The most astonishing demo showed Adobe Sensei AI flawlessly filling generated video content into scenes with only rough rotoscopic masks. This includes complex motions like adding ties and designs to moving liquid surfaces. By leveraging temporal data, the generative video fills realistically match and responds to scene motion in real time. According to creators, these are industry-grade visual effects now achievable in minutes by anyone. If Adobe can fine-tune quality, auto video generation may revolutionize editing and post-production through unbelievable speed and ease of composite shots.

Intuitive 3D Asset Creation and Manipulation

Expanding beyond 2D, Adobe also unveiled AI systems to quickly generate and pose 3D characters and objects by leveraging concept art and images. Simple sketches can be automatically enhanced into quality line art to kickstart digital painting. Even more impressively, imported images can drive 3D scene and character posing through example. This implies a future where high quality 3D asset creation and animation is driven primarily by user intent through images and text. It brings the ease and creative flow of 2D images into the 3D world while eliminating tedious manual effort.

Conclusion and Summary

As this AI news roundup demonstrates clearly, recent months have produced remarkable advances across all facets of AI generation - from language and text to images, video, and 3D scenes.

While open source initiatives are delivering models with unprecedented efficiency and community-driven growth potential, private companies like Google and Adobe are leveraging resources to integrate cutting edge AI directly into practical applications.

With accelerating progress across both domains, I have no doubt these technologies will permeate creative and productive workflows in the coming months and years. Their impact on democratizing innovation and compressing complex workflows cannot be overstated. I can't wait to share more exciting developments with you in the next news roundup!


Q: What new AI image generation did Google reveal?
A: Google revealed a new AI image generation feature in Google Search. It allows generating images from text prompts to assist in image searches.

Q: What makes the Mistral 7B model impressive?
A: The Mistral 7B model is an open source AI model that competes with models 10x its size. It demonstrates great efficiency and performance despite having just 7 billion parameters.

Q: What does the new Show 1 model do?
A: Show 1 is a new open source AI video generation model. It can create short video clips from text prompts with decent quality.

Q: What AI features did Adobe showcase?
A: Adobe showcased revolutionary new AI features for video editing, 3D modeling, image generation, and more at Adobe MAX 2022.

Q: How does the new generative video fill feature work?
A: The generative video fill feature uses AI to seamlessly fill in removed objects in video. It synthetically generates video content to match the original footage.

Q: Can the new AI tools auto-generate 3D poses?
A: Yes, the new AI tools can take 2D images of poses and automatically generate matching 3D poses for 3D models.

Q: Does Adobe have AI-powered language translation?
A: Yes, Adobe demonstrated AI-powered language translation similar to Cohere and ElevenLabs, showing strong natural language capabilities.

Q: What other AI features were shown?
A: Other AI features included resolution upscaling for video, sketch generation, coloring, and more. Adobe is integrating many cutting-edge AI capabilities.

Q: When will these new AI features be available?
A: Exact availability is still to be announced. The features were showcased at Adobe MAX 2022, so release may be within the next year.

Q: How could these AI tools impact creators?
A: These new tools could enable creators to save huge amounts of time and effort on tasks like VFX and localization. It greatly levels the playing field.