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Collections including paper arxiv:2501.07556

about 1 month ago

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 7
MINIMA: Modality Invariant Image Matching

Paper • 2412.19412 • Published Dec 27, 2024 • 4
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance

Paper • 2405.12979 • Published May 21, 2024 • 12

Computer Vision

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 7

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation

Paper • 2501.02576 • Published Jan 5 • 15
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Paper • 2412.09626 • Published Dec 12, 2024 • 21
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Paper • 2412.13389 • Published Dec 18, 2024 • 7
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Paper • 2412.16112 • Published Dec 20, 2024 • 23

SuperPoint: Self-Supervised Interest Point Detection and Description

Paper • 1712.07629 • Published Dec 20, 2017
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Paper • 1905.03561 • Published May 9, 2019
R2D2: Repeatable and Reliable Detector and Descriptor

Paper • 1906.06195 • Published Jun 14, 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks

Paper • 1911.11763 • Published Nov 26, 2019

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7 • 47
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7 • 52
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9 • 41
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 7

about 7 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

about 1 month ago

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 7
MINIMA: Modality Invariant Image Matching

Paper • 2412.19412 • Published Dec 27, 2024 • 4
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance

Paper • 2405.12979 • Published May 21, 2024 • 12

SuperPoint: Self-Supervised Interest Point Detection and Description

Paper • 1712.07629 • Published Dec 20, 2017
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Paper • 1905.03561 • Published May 9, 2019
R2D2: Repeatable and Reliable Detector and Descriptor

Paper • 1906.06195 • Published Jun 14, 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks

Paper • 1911.11763 • Published Nov 26, 2019

Computer Vision

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 7

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7 • 47
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7 • 52
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9 • 41
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 7

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation

Paper • 2501.02576 • Published Jan 5 • 15
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Paper • 2412.09626 • Published Dec 12, 2024 • 21
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Paper • 2412.13389 • Published Dec 18, 2024 • 7
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Paper • 2412.16112 • Published Dec 20, 2024 • 23

about 7 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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