Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
Paper
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2501.04001
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Published
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46
Image-Video General Tasks
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LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Paper • 2501.03895 • Published • 53 -
An Empirical Study of Autoregressive Pre-training from Videos
Paper • 2501.05453 • Published • 42 -
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training
Paper • 2501.07556 • Published • 6 -
MINIMA: Modality Invariant Image Matching
Paper • 2412.19412 • Published • 4 -
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Paper • 2501.12375 • Published • 22 -
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Paper • 2502.11831 • Published • 19 -
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
Paper • 2502.17157 • Published • 53 -
"Principal Components" Enable A New Language of Images
Paper • 2503.08685 • Published • 12 -
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Paper • 2503.06698 • Published • 4 -
Segment Any Motion in Videos
Paper • 2503.22268 • Published • 17