8 papers
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…
Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation
Qirui Li, Guangcong Zheng, Qi Zhao +4
The computational demands of self-attention mechanisms pose a critical challenge for transformer-based video generation, particularly in synthesizing ultra-long sequences. Current…
Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection
Yehao Lu, Minghe Weng, Zekang Xiao +5
The Mixture of Experts (MoE) architecture has excelled in Large Vision-Language Models (LVLMs), yet its potential in real-time open-vocabulary object detectors, which also leverage…
RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control
Teng Li, Guangcong Zheng, Rui Jiang +9
Recent advancements in camera-trajectory-guided image-to-video generation offer higher precision and better support for complex camera control compared to text-based approaches. Ho…
Frame-Level Captions for Long Video Generation with Complex Multi Scenes
Guangcong Zheng, Jianlong Yuan, Bo Wang +3
Generating long videos that can show complex stories, like movie scenes from scripts, has great promise and offers much more than short clips. However, current methods that use aut…
RealCam-Vid: High-resolution Video Dataset with Dynamic Scenes and Metric-scale Camera Movements
Guangcong Zheng, Teng Li, Xianpan Zhou +1
Recent advances in camera-controllable video generation have been constrained by the reliance on static-scene datasets with relative-scale camera annotations, such as RealEstate10K…