SeTok

Reading list for research topics in multimodal machine learning

Mobile-Agent: The Powerful Mobile Device Operation Assistant Family

An open-source framework for training large multimodal models.

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

Easy token price estimates for 400+ LLMs. TokenOps.

A suite of image and video neural tokenizers

Ravencoin Core integration/staging tree

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition