Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction Paper • 2501.03218 • Published Jan 6 • 36 • 5
Unified Reward Model for Multimodal Understanding and Generation Paper • 2503.05236 • Published 7 days ago • 103
Running on Zero 9 9 SAM2 Video Predictor 🔥 Generate masks for objects in a video and propagate them across frames
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference Paper • 2502.18411 • Published 16 days ago • 69
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Paper • 2502.13128 • Published 23 days ago • 37
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Paper • 2502.13128 • Published 23 days ago • 37
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion Paper • 2502.08590 • Published 29 days ago • 40
VideoRoPE: What Makes for Good Video Rotary Position Embedding? Paper • 2502.05173 • Published Feb 7 • 64
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Paper • 2501.12368 • Published Jan 21 • 42
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published Jan 9 • 39
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published Jan 9 • 39
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction Paper • 2501.03218 • Published Jan 6 • 36
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 41
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction Paper • 2501.03218 • Published Jan 6 • 36