7 papers
LogiShot: Logically Coherent Cross-Shot Video Generation
Shuai Guo, Yuhang Yang, Zeyu Zhang +4
Generating cross-shot videos that are logically connected is essential for content creation. Currently, most cross-shot video-generation workflows, such as short-drama production,…
Tail-Aware HiFloat4: W4A4 Post-Training Quantization for Wan2.2
Zhanfeng Feng, Shuai Guo, Xin Di +3
This report describes Tail-Aware HiFloat4, our submission to the low-bit text-to-video generation quantization challenge. Our method adapts the public ViDiT-Q post-training quantiz…
Gloria: Consistent Character Video Generation via Content Anchors
Yuhang Yang, Fan Zhang, Huaijin Pi +5
Digital characters are central to modern media, yet generating character videos with long-duration, consistent multi-view appearance and expressive identity remains challenging. Ex…
Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis
Jiatong Shi, Shuai Guo, Tao Qian +9
This paper introduces a new open-source platform named Muskits for end-to-end music processing, which mainly focuses on end-to-end singing voice synthesis (E2E-SVS). Muskits suppor…
SingAug: Data Augmentation for Singing Voice Synthesis with Cycle-consistent Training Strategy
Shuai Guo, Jiatong Shi, Tao Qian +2
Deep learning based singing voice synthesis (SVS) systems have been demonstrated to flexibly generate singing with better qualities, compared to conventional statistical parametric…
Sequence-to-sequence Singing Voice Synthesis with Perceptual Entropy Loss
Jiatong Shi, Shuai Guo, Nan Huo +2
The neural network (NN) based singing voice synthesis (SVS) systems require sufficient data to train well and are prone to over-fitting due to data scarcity. However, we often enco…
MUSE2020 challenge report
Ruichen Li, JingWen Hu, Shuai Guo +1
This paper is a brief report for MUSE2020 challenge. We present our solution for Muse-Wild sub challenge. The aim of this challenge is to investigate sentiment analysis method in r…