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23 days ago
23 days ago
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Discover the best community collections!
Collections including paper arxiv:2403.09622
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Apr 14
Apr 14
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CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Paper • 2107.00652 • Published • 2 -
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Paper • 2403.09622 • Published • 10 -
Veagle: Advancements in Multimodal Representation Learning
Paper • 2403.08773 • Published • 7 -
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Paper • 2304.14178 • Published • 2
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18 days ago
18 days ago
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 173 -
Visual Instruction Tuning
Paper • 2304.08485 • Published • 8 -
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Paper • 2403.09622 • Published • 10 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 82
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15 days ago
15 days ago
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 3 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 5 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2
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11 days ago
11 days ago
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ByT5: Towards a token-free future with pre-trained byte-to-byte models
Paper • 2105.13626 • Published • 1 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 44 -
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Paper • 2305.07185 • Published • 8 -
Byte-Level Recursive Convolutional Auto-Encoder for Text
Paper • 1802.01817 • Published
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2 days ago
2 days ago
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 7 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 12 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 53 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 69