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Depth Anything V2
Paper • 2406.09414 • Published • 96 -
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Paper • 2406.09415 • Published • 51 -
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion
Paper • 2406.04338 • Published • 35 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 111
Collections
Discover the best community collections!
Collections including paper arxiv:2501.03895
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 13 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 31
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Customizing Text-to-Image Models with a Single Image Pair
Paper • 2405.01536 • Published • 20 -
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Paper • 2404.03913 • Published -
LCM-Lookahead for Encoder-based Text-to-Image Personalization
Paper • 2404.03620 • Published • 1 -
Customizing Text-to-Image Diffusion with Camera Viewpoint Control
Paper • 2404.12333 • Published • 1
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
Paper • 2402.09025 • Published • 6 -
Shortened LLaMA: A Simple Depth Pruning for Large Language Models
Paper • 2402.02834 • Published • 15 -
Algorithmic progress in language models
Paper • 2403.05812 • Published • 18
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 41 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 181 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 16 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 48 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 41