most citedEnhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach

2 citations · 2 across the 5 of their papers we have counts for

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5 papers

cs.CV2024

ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis

Zichen Tang, Hongyu Yang

Recent advances in generative visual models and neural radiance fields have greatly boosted 3D-aware image synthesis and stylization tasks. However, previous NeRF-based work is lim…

cs.CV2024

3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior

Guohao Li, Hongyu Yang, Di Huang +1

Generative 3D face models featuring disentangled controlling factors hold immense potential for diverse applications in computer vision and computer graphics. However, previous 3D…

cs.CV2024

InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

Xiefan Guo, Jinlin Liu, Miaomiao Cui +3

Recent strides in the development of diffusion models, exemplified by advancements such as Stable Diffusion, have underscored their remarkable prowess in generating visually compel…

cs.CV2024

DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition

Hebeizi Li, Hongyu Yang, Di Huang

Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis. In the context of existing methodologies for 3D FER or 2D+3D FER, the extra…

cs.LG20232 cited

Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach

Chunwei Yang, Xiaoxu Chen, Lijun Sun +2

Time series analysis is a fundamental task in various application domains, and deep learning approaches have demonstrated remarkable performance in this area. However, many real-wo…