Depth Anything V2
Paper
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2406.09414
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Published
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103
cool-papers
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An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Paper • 2406.09415 • Published • 52 -
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion
Paper • 2406.04338 • Published • 40 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 115 -
GraCo: Granularity-Controllable Interactive Segmentation
Paper • 2405.00587 • Published -
Differential Transformer
Paper • 2410.05258 • Published • 178 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 39 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 99 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Paper • 2501.03895 • Published • 53 -
The GAN is dead; long live the GAN! A Modern GAN Baseline
Paper • 2501.05441 • Published • 92 -
Infecting Generative AI With Viruses
Paper • 2501.05542 • Published • 13 -
MatAnyone: Stable Video Matting with Consistent Memory Propagation
Paper • 2501.14677 • Published • 35 -
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
Paper • 2502.04320 • Published • 37 -
Diffusion Models without Classifier-free Guidance
Paper • 2502.12154 • Published • 7 -
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 • 30 -
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 • 112 -
Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective
Paper • 2503.01933 • Published • 11 -
LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM
Paper • 2503.04724 • Published • 69 -
Forgetting Transformer: Softmax Attention with a Forget Gate
Paper • 2503.02130 • Published • 29 -
AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models
Paper • 2503.08417 • Published • 8 -
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Paper • 2503.09573 • Published • 68 -
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
Paper • 2503.10636 • Published • 3 -
ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
Paper • 2503.11647 • Published • 134 -
Tokenize Image as a Set
Paper • 2503.16425 • Published • 15 -
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation
Paper • 2503.16660 • Published • 72 -
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Paper • 2503.20240 • Published • 21 -
SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling
Paper • 2503.21732 • Published • 8 -
X^{2}-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction
Paper • 2503.21779 • Published • 3 -
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Paper • 2503.19693 • Published • 75 -
Scaling Language-Free Visual Representation Learning
Paper • 2504.01017 • Published • 26 -
Gaussian Mixture Flow Matching Models
Paper • 2504.05304 • Published • 11 -
DDT: Decoupled Diffusion Transformer
Paper • 2504.05741 • Published • 70