5 papers · 1 filter
Uncertainty-Aware Consistency Distillation for Few-Step Video Generation
Lingyu Liu, Yaxiong Wang, Li Zhu +1
We study few-step video generation, i.e., distilling a multi-step video generator, which typically requires tens of sampling steps, incurring substantial latency and compute, into…
Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation
Lingyu Liu, Yaxiong Wang, Li Zhu +1
Video frame interpolation aims to synthesize realistic intermediate frames between given endpoints while adhering to specific motion semantics. While recent generative models have…
Look, Compare and Draw: Differential Query Transformer for Automatic Oil Painting
Lingyu Liu, Yaxiong Wang, Li Zhu +2
This work introduces a new approach to automatic oil painting that emphasizes the creation of dynamic and expressive brushstrokes. A pivotal challenge lies in mitigating the duplic…
Every Painting Awakened: A Training-free Framework for Painting-to-Animation Generation
Lingyu Liu, Yaxiong Wang, Li Zhu +1
We introduce a training-free framework specifically designed to bring real-world static paintings to life through image-to-video (I2V) synthesis, addressing the persistent challeng…
Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
Jingchun Lian, Lingyu Liu, Yaxiong Wang +4
Existing facial forgery detection methods typically focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulatio…