Visual Instruction Tuning
Paper
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2304.08485
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Published
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16
Image Papers
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LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 37 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 31 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 19 -
Generate Anything Anywhere in Any Scene
Paper • 2306.17154 • Published • 22 -
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Paper • 2306.00890 • Published • 11 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 29 -
Instruct-Imagen: Image Generation with Multi-modal Instruction
Paper • 2401.01952 • Published • 32 -
High-Quality Image Restoration Following Human Instructions
Paper • 2401.16468 • Published • 13 -
AI training resources for GLAM: a snapshot
Paper • 2205.04738 • Published • 2 -
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
Paper • 2401.17583 • Published • 27 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper • 2310.00653 • Published • 3 -
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Paper • 2402.05935 • Published • 17 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 8 -
Lumos : Empowering Multimodal LLMs with Scene Text Recognition
Paper • 2402.08017 • Published • 28 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 6 -
Foundation Models for Generalist Geospatial Artificial Intelligence
Paper • 2310.18660 • Published • 11 -
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 9 -
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Paper • 2402.10294 • Published • 27 -
The boundary of neural network trainability is fractal
Paper • 2402.06184 • Published • 4 -
Video ReCap: Recursive Captioning of Hour-Long Videos
Paper • 2402.13250 • Published • 27 -
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter
Paper • 2402.10896 • Published • 16 -
Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields
Paper • 2402.13252 • Published • 19