12 citations · 13 across the 8 of their papers we have counts for
9 papers · 1 filter
TrajCFG: Token-Wise Classifier-Free Guidance via Denoising Trajectory Feedback
Jingyu Liu, Hao Jiang, Yikang Ding +6
Classifier-free guidance (CFG) typically applies a shared scale to all latent tokens, although their velocity predictions evolve differently during sampling. We introduce Trajector…
SubjectAnchor: Subject-Aware Memory-to-Video for Multi-Shot Storytelling
Xinyu Wang, Huafeng Shi, Zian Li +4
We present SubjectAnchor, a Subject-Aware Memory-to-Video paradigm for multi-shot storytelling in which the current shot is generated by conditioning on explicit visual memories ex…
Vera: Identity-Faithful Human Subject-to-Video Generation
Yulong Xu, Xinyue Liu, Shujuan Li +6
Subject-to-video (S2V) generation has made substantial progress in preserving reference subjects across diverse categories, yet generic subject consistency remains insufficient for…
KlingAvatar 2.0 Technical Report
Kling Team, Jialu Chen, Yikang Ding +25
Avatar video generation models have achieved remarkable progress in recent years. However, prior work exhibits limited efficiency in generating long-duration high-resolution videos…
Aquarius: A Family of Industry-Level Video Generation Models for Marketing Scenarios
Huafeng Shi, Jianzhong Liang, Rongchang Xie +3
This report introduces Aquarius, a family of industry-level video generation models for marketing scenarios designed for thousands-xPU clusters and models with hundreds of billions…
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
Ruijia Wu, Yuhang Wang, Huafeng Shi +3
Denoising diffusion models have shown remarkable potential in various generation tasks. The open-source large-scale text-to-image model, Stable Diffusion, becomes prevalent as it c…
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
Yuhang Wang, Huafeng Shi, Rui Min +5
Extensive evidence has demonstrated that deep neural networks (DNNs) are vulnerable to backdoor attacks, which motivates the development of backdoor attacks detection. Most detecti…
Exploring Disentangled Content Information for Face Forgery Detection
Jiahao Liang, Huafeng Shi, Weihong Deng
Convolutional neural network based face forgery detection methods have achieved remarkable results during training, but struggled to maintain comparable performance during testing.…
Few-shot Forgery Detection via Guided Adversarial Interpolation
Haonan Qiu, Siyu Chen, Bei Gan +4
The increase in face manipulation models has led to a critical issue in society - the synthesis of realistic visual media. With the emergence of new forgery approaches at an unprec…