We’ve been busy building an AI system to generate 3D worlds from a single image. Check out some early results on our site, where you can interact with our scenes directly in the browser! worldlabs.ai/blog 1/n

What happens when you train a video generation model to be conditioned on motion? Turns out you can perform "motion prompting," just like you might prompt an LLM! Doing so enables many different capabilities. Here’s a few examples – check out this thread 🧵 for more results!

Check out our new project on making 3D illusions! Here is my favorite example, "Finding Nemo"

Today we launched our Pika 2.0 model. Superior text alignment. Stunning visuals. And ✨Scene Ingredients✨that allow you to upload images of yourself, people, places, and things—giving you more control and consistency than ever before. It’s almost like twelve days worth of gifts

Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference NeurIPS Conference We have ethical reviews for authors, but missed it for invited speakers? 😡

Please read our statement on the remarks made by Dr. Rosalind Picard at her NeurIPS 2024 invited talk and our commitment to respect, inclusivity, and upholding our values: neurips.cc/Conferences/20…

Today, we’re announcing Veo 2: our state-of-the-art video generation model which produces realistic, high-quality clips from text or image prompts. 🎥 We’re also releasing an improved version of our text-to-image model, Imagen 3 - available to use in ImageFX through

Introducing, The Heist. Every shot was done via text-to video with Google Veo 2. I did all the sound design, edit,ing and music. I can't wait to show you what's in store next year at Secret Level! 4K version here: youtu.be/lFc1jxLHhyM

This quick experiment I just did made my jaw drop... You can literally create and play any game by iterating over images with the new Gemini model! 🤯

We fool GPT4 using tiny text&image tricks😈! Check out our new #icml2025 paper, a new VQA benchmark with misleading text distractor and fancy ood images generated by image generator. While human could easily see through this deception, most of VLMs failed!

Frame In-N-Out Unbounded Controllable Image-to-Video Generation

Thanks AK for sharing! The homepage can be found at: uva-computer-vision-lab.github.io/Frame-In-N-Out/ Thank you to all my coauthors: Xuweiyi Chen Matheus Gadelha Zezhou Cheng Research Work at UVA! Special thanks Xuweiyi Chen for bridging this opportunity.