This repository is a summary of all systems and scientific papers that use LAION datasets.
T.B.C.
After the release of LAION-400M, several papers used LAION-400M for image generation, text to image generation, image to text generation and text image matching:
- Vector Quantized Diffusion Model for Text-to-Image Synthesis used LAION-400M to train VQ diffusion text to image generation models
- High-Resolution Image Synthesis with Latent Diffusion Models used a subset of LAION-400M to train latent diffusion models
- General Facial Representation Learning in a Visual-Linguistic Manner LAION-400M face subset to train a face clip
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation image captioning using LAION-400M subset
- MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning was trained on image question answering using a LAION-400M subset
Clay Mullis (alias afiaka87) used subsets of LAON-2B to fine-tune the Open-AI Glide model and managed to reintroduce human generations.