DocLLM: A layout-aware generative language model for multimodal document understanding
Paper
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2401.00908
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Published
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181
Papers - Image - Fine-tuning
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Visual Instruction Tuning
Paper • 2304.08485 • Published • 13 -
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Paper • 2403.09622 • Published • 16 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 10 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 30 -
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Paper • 2404.03653 • Published • 33 -
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
Paper • 2404.03673 • Published • 14 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 3 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 29 -
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
Paper • 2404.13686 • Published • 27 -
Capabilities of Gemini Models in Medicine
Paper • 2404.18416 • Published • 23 -
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Paper • 1707.02968 • Published • 1 -
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
Paper • 2404.05669 • Published • 1 -
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Paper • 2203.03897 • Published • 1 -
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
Paper • 2411.10440 • Published • 90