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Collections including paper arxiv:2408.03695

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Papers - Multimodal - Storytelling

Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling

Paper • 2408.03695 • Published Aug 7 • 12

Video-Gen Dataset

VidGen-1M: A Large-Scale Dataset for Text-to-video Generation

Paper • 2408.02629 • Published Aug 5 • 13
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling

Paper • 2408.03695 • Published Aug 7 • 12

THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation

Paper • 2406.10996 • Published Jun 16 • 32
Simulating Classroom Education with LLM-Empowered Agents

Paper • 2406.19226 • Published Jun 27 • 29
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Paper • 2406.19389 • Published Jun 27 • 51
LAMBDA: A Large Model Based Data Agent

Paper • 2407.17535 • Published Jul 24 • 34

Papers - Multimodal

TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Paper • 2402.14289 • Published Feb 22 • 19
ImageBind: One Embedding Space To Bind Them All

Paper • 2305.05665 • Published May 9, 2023 • 3
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Paper • 2206.02770 • Published Jun 6, 2022 • 3

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

Paper • 2401.09048 • Published Jan 17 • 8
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 15
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 58
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 72

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