Depth Anything V2
Paper
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2406.09414
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Published
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97
cool-papers
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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 • 37 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 113 -
GraCo: Granularity-Controllable Interactive Segmentation
Paper • 2405.00587 • Published -
Differential Transformer
Paper • 2410.05258 • Published • 171 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 92 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 99 -
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Paper • 2501.03895 • Published • 50 -
The GAN is dead; long live the GAN! A Modern GAN Baseline
Paper • 2501.05441 • Published • 88 -
Infecting Generative AI With Viruses
Paper • 2501.05542 • Published • 13 -
MatAnyone: Stable Video Matting with Consistent Memory Propagation
Paper • 2501.14677 • Published • 30 -
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
Paper • 2502.04320 • Published • 33 -
Diffusion Models without Classifier-free Guidance
Paper • 2502.12154 • Published • 3 -
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Paper • 2502.09509 • Published • 5