How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Efficient computing methods developed by Huawei Noah's Ark Lab
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
[CVPR 2024] Prompt Highlighter: Interactive Control for Multi-Modal LLMs
The main features of dvlab-research/prompt-highlighter are: Model Utilities.
Projects with overlapping indexed features include: ailab-cvc/seed — Official implementation of SEED-LLaMA (ICLR 2024). huawei-noah/efficient-computing — Efficient computing methods developed by Huawei Noah's Ark Lab. kohjingyu/fromage — 🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs". kohjingyu/gill — 🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models". shi-labs/vcoder — [CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models. tingyu215/ts-llava — TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models.
