3 papers
cs.CV2026
SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning
Xi Ye, Wenjia Yang, Yangyang Xu +4
Image-conditioned video diffusion models achieve impressive visual realism but often suffer from weakened motion fidelity, e.g., reduced motion dynamics or degraded long-term tempo…
cs.LG2026
Distilling Drifting Transformers with Representation Autoencoders
Jiawei Zhang, Mengfei Xia, Gen Li +1
Despite the significant training acceleration and promising performance, Representation Autoencoders (RAEs) are mainly criticized for poor distillation effectiveness. In this work,…
cs.CV2025
UCD: Unconditional Discriminator Promotes Nash Equilibrium in GANs
Mengfei Xia, Nan Xue, Jiapeng Zhu +1
Adversarial training turns out to be the key to one-step generation, especially for Generative Adversarial Network (GAN) and diffusion model distillation. Yet in practice, GAN trai…