OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models Paper • 2503.08686 • Published 2 days ago • 14
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Paper • 2503.07608 • Published 3 days ago • 18
Improve Representation for Imbalanced Regression through Geometric Constraints Paper • 2503.00876 • Published 12 days ago • 6
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning Paper • 2502.13144 • Published 23 days ago • 37
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published 23 days ago • 36
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Paper • 2502.10248 • Published 28 days ago • 51
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation Paper • 2502.05178 • Published Feb 7 • 10
Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT Paper • 2502.06782 • Published Feb 10 • 13
MatAnyone: Stable Video Matting with Consistent Memory Propagation Paper • 2501.14677 • Published Jan 24 • 31
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 346
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 276
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation Paper • 2501.09755 • Published Jan 16 • 34
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models Paper • 2501.01423 • Published Jan 2 • 37
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels Paper • 2407.18054 • Published Jul 25, 2024 • 12