← Search

Xiaoxue Wu

4 accepted papers

2026

CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models

ICLR 2026poster

Despite significant advances in video synthesis, research into multi-shot video generation remains in its infancy. Even with scaled-up models and massive datasets, the shot transition capabilities remain rudimentary and unstable, largely confining generated videos to single-shot sequences. In this w…

Cited by 0SourcecodeScholar
2026

ShotDirector: Directorially Controllable Multi-Shot Video Generation with Cinematographic Transitions

CVPR 2026

Shot transitions play a pivotal role in multi-shot video generation, as they determine the overall narrative expression and the directorial design of visual storytelling.However, recent progress has primarily focused on low-level visual consistency across shots, neglecting how transitions are design

Cited by 0SourceScholar
2025

EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics

AAAI 2025technical

Imitating how humans move their gaze in a visual scene is a vital research problem for both visual understanding and psychology, kindling crucial applications such as building alive virtual characters. Previous studies aim to predict gaze trajectories when humans are free-viewing an image, searching…

2025

The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation

CVPR 2025poster

The evolution of Text-to-video (T2V) generative models, trained on large-scale datasets, has been marked by significant progress. However, the sensitivity of T2V generative models to input prompts highlights the critical role of prompt design in influencing generative outcomes. Prior research has pr…