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Collections including paper arxiv:2403.09622

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16
TableGPT2: A Large Multimodal Model with Tabular Data Integration

Paper • 2411.02059 • Published Nov 4 • 5
POINTS1.5: Building a Vision-Language Model towards Real World Applications

Paper • 2412.08443 • Published 15 days ago • 38

Papers - Image - Text and Symbolic Image Generator

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16

Papers - Image - Encoders

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

Paper • 2107.00652 • Published Jul 1, 2021 • 2
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16
Veagle: Advancements in Multimodal Representation Learning

Paper • 2403.08773 • Published Jan 18 • 7
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Paper • 2304.14178 • Published Apr 27, 2023 • 3

Papers - Image - Fine-tuning

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 13
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 86

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 7
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

ByT5: Towards a token-free future with pre-trained byte-to-byte models

Paper • 2105.13626 • Published May 28, 2021 • 3
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 49
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Paper • 2305.07185 • Published May 12, 2023 • 9
Byte-Level Recursive Convolutional Auto-Encoder for Text

Paper • 1802.01817 • Published Feb 6, 2018

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17 • 9
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 16
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 60
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 73

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