1 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
Zijie Lou, Xiangwei Feng, Jiaxin Wang +7
Existing video object removal methods predominantly rely on diffusion models following a noise-to-data paradigm, where generation starts from uninformative Gaussian noise. This app…
HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving
Qiang Li, Yingwenqi Jiang, Tuoxi Li +17
Realistic and controllable simulation is critical for advancing end-to-end autonomous driving, yet existing approaches often struggle to support novel view synthesis under large vi…
STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation
Jiamin Wang, Yichen Yao, Xiang Feng +5
The generation of temporally consistent, high-fidelity driving videos over extended horizons presents a fundamental challenge in autonomous driving world modeling. Existing approac…
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI
Zhaojie Fang, Shenghao Zhu, Yifei Chen +9
Alzheimer's Disease (AD) is a progressive, irreversible neurodegenerative disorder that often originates from Mild Cognitive Impairment (MCI). This progression results in significa…
RT-NeRV: Rethinking Hybrid Neural Representations for Video via Residual Tokenization
Yunjie Xu, Xiang Feng, Chengkai Wang +3
Neural Representations for Videos(NeRV) have emerged as a promising paradigm for video compression by representing videos as compact neural networks with efficient decoding. Hybrid…