7 papers
Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment
Yuxing Lu, Xukai Zhao, Wei Wu +1
The knowledge base in a retrieval-augmented generation (RAG) system is typically assembled once and never revised, even though the facts a query requires are often fragmented acros…
Semantic-Aware Prefix Learning for Token-Efficient Image Generation
Qingfeng Li, Haoxian Zhang, Xu He +4
Visual tokenizers play a central role in latent image generation by bridging high-dimensional images and tractable generative modeling. However, most existing tokenizers are still…
3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation
Zhixue Fang, Xu He, Songlin Tang +5
Existing methods for human motion control in video generation typically rely on either 2D poses or explicit 3D parametric models (e.g., SMPL) as control signals. However, 2D poses…
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…
From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
Xu He, Haoxian Zhang, Hejia Chen +7
Audio-driven visual dubbing aims to synchronize a video's lip movements with new speech but is fundamentally challenged by the lack of ideal training data: paired videos differing…
MIDAS: Multimodal Interactive Digital-humAn Synthesis via Real-time Autoregressive Video Generation
Ming Chen, Liyuan Cui, Wenyuan Zhang +9
Recently, interactive digital human video generation has attracted widespread attention and achieved remarkable progress. However, building such a practical system that can interac…
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
Ziqiao Peng, Jiwen Liu, Haoxian Zhang +6
Lip synchronization is the task of aligning a speaker's lip movements in video with corresponding speech audio, and it is essential for creating realistic, expressive video content…