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 • 38 -
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 • 93 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 100 -
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 • 31 -
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
Paper • 2502.04320 • Published • 35 -
Diffusion Models without Classifier-free Guidance
Paper • 2502.12154 • Published • 4 -
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Paper • 2502.09509 • Published • 7 -
Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator
Paper • 2502.19204 • Published • 11 -
UniTok: A Unified Tokenizer for Visual Generation and Understanding
Paper • 2502.20321 • Published • 27 -
How far can we go with ImageNet for Text-to-Image generation?
Paper • 2502.21318 • Published • 25 -
AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding
Paper • 2503.01063 • Published • 5 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 98 -
Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective
Paper • 2503.01933 • Published • 10