SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion

no code implementations • 5 May 2024 • Ziyun Qian, Zeyu Xiao, Zhenyi Wu, Dingkang Yang, Mingcheng Li, Shunli Wang, Shuaibing Wang, Dongliang Kou, Lihua Zhang

To address these problems, we consider style motion as a condition and propose the Style Motion Conditioned Diffusion (SMCD) framework for the first time, which can more comprehensively learn the style features of motion.

Motion Style Transfer Style Transfer

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities

no code implementations • 25 Apr 2024 • Mingcheng Li, Dingkang Yang, Xiao Zhao, Shuaibing Wang, Yan Wang, Kun Yang, Mingyang Sun, Dongliang Kou, Ziyun Qian, Lihua Zhang

Specifically, we present a sample-level contrastive distillation mechanism that transfers comprehensive knowledge containing cross-sample correlations to reconstruct missing semantics.

Disentanglement Knowledge Distillation +1

Human 3D Avatar Modeling with Implicit Neural Representation: A Brief Survey

no code implementations • 6 Jun 2023 • Mingyang Sun, Dingkang Yang, Dongliang Kou, Yang Jiang, Weihua Shan, Zhe Yan, Lihua Zhang

This paper comprehensively reviews the application of implicit neural representation in human body modeling.