awesome-foundation-models
github.com/uncbiag/awesome-foundation-models ↗A curated list of foundation models for vision and language tasks
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Papers by Date
- 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities2024
- Advancing Multimodal Medical Capabilities of Gemini2024
- AETHER: Geometric-Aware Unified World Modeling2025
- A Generalist Agent2022
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale2021
- Arc2Face: A Foundation Model of Human Faces2024
Survey
- A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTBefore 2024
- A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTBefore 2024
- An Introduction to Vision-Language Modeling2024
- A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models2024
- A Survey on Multimodal Large Language ModelsBefore 2024
- A Systematic Survey of Prompt Engineering on Vision-Language Foundation ModelsBefore 2024
Papers by Topic
- ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionVision-Language Pretraining
- BLINK: Multimodal Large Language Models Can See but Not PerceiveLarge Benchmarks
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsVision-Language Pretraining
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationVision-Language Pretraining
- Bounding the probability of harm from an AI to create a guardrailAI Safety and Responsibility
- CAD-Estate: Large-scale CAD Model Annotation in RGB VideosLarge Benchmarks
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Tutorials
Showing a sample of 258 resources. View the full list on GitHub →