Parse notes
Zoom is expanding its AI capabilities by incorporating proprietary AI models and leveraging external models from companies like OpenAI. The next-gen AI smart companion, Zoom IQ, aims to empower collaboration and streamline workflows by summarizing chat threads, drafting content, and creating meeting agendas. As these features roll out to select customers, Zoom IQ aims to save time and enhance creativity for individuals and teams.
The paper presents a new approach called HiPer, which uses highly personalized text embedding to achieve personalization and content manipulation in image generation and manipulation without the need for model fine-tuning or identifiers. The approach enables manipulation of background, texture, and motion with just a single image and target text, producing highly personalized and complex semantic image edits across a wide range of tasks. The authors believe that their novel understanding of the text embedding space has the potential to inspire further research across various tasks.
Player pianos have existed since before computers, but now a computer can play the piano by controlling robotic fingers. This is a fascinating control problem that allows an RL agent to learn how to control dexterous fingers to play piano. There is an interactive demo that lets you poke and prod the hands while they play.
DreamBooth3D is a new approach that personalizes text-to-3D generative models with as few as 3-6 casually captured images of a subject. The method combines recent advances in personalizing text-to-image models with text-to-3D generation, overcoming the issue of overfitting to input viewpoints through a 3-stage optimization strategy. DreamBooth3D can produce high-quality, subject-specific 3D assets with text-driven modifications such as novel poses, colors, and attributes that are not seen in any of the input images of the subject.
This repo proposes LLaMA-Adapter, a lightweight adaption method for fine-tuning instruction-following LLaMA models, using 52K data provided by Stanford Alpaca.
This study presents a novel diffusion setup that addresses the challenges of data scarcity and computational complexity in 3D generative modeling by utilizing posed 2D images and decoupling model memory from spatial memory. The approach demonstrates scalability, robust training, and competitive sample quality when applied to the CO3D dataset.
Xturing provides fast, efficient, and simple fine-tuning of LLMs.
Following the virality of some AI-generated images and a surge in new users, Midjourney is discontinuing free trials.