Search Results for author: P. Y. Mok

Found 7 papers, 4 papers with code

KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation

1 code implementation31 Mar 2024 Jihua Peng, Yanghong Zhou, P. Y. Mok

This paper presents a novel Kinematics and Trajectory Prior Knowledge-Enhanced Transformer (KTPFormer), which overcomes the weakness in existing transformer-based methods for 3D human pose estimation that the derivation of Q, K, V vectors in their self-attention mechanisms are all based on simple linear mapping.

Monocular 3D Human Pose Estimation

SGDiff: A Style Guided Diffusion Model for Fashion Synthesis

1 code implementation15 Aug 2023 Zhengwentai Sun, Yanghong Zhou, HongHong He, P. Y. Mok

This paper reports on the development of \textbf{a novel style guided diffusion model (SGDiff)} which overcomes certain weaknesses inherent in existing models for image synthesis.

Fashion Synthesis Image Generation

Computational Technologies for Fashion Recommendation: A Survey

no code implementations6 Jun 2023 Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua

Fashion recommendation is a key research field in computational fashion research and has attracted considerable interest in the computer vision, multimedia, and information retrieval communities in recent years.

Information Retrieval Product Recommendation

DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition

no code implementations17 Apr 2023 Hao Tian, Yu Cao, P. Y. Mok

Clothing segmentation and fine-grained attribute recognition are challenging tasks at the crossing of computer vision and fashion, which segment the entire ensemble clothing instances as well as recognize detailed attributes of the clothing products from any input human images.

Attribute Segmentation

AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models

1 code implementation20 Mar 2023 Yu Cao, Xiangqiao Meng, P. Y. Mok, Xueting Liu, Tong-Yee Lee, Ping Li

Through multiple quantitative metrics evaluated on our dataset and a user study, we demonstrate AnimeDiffusion outperforms state-of-the-art GANs-based models for anime face line drawing colorization.

Colorization Image Reconstruction

Attention-Aware Anime Line Drawing Colorization

1 code implementation21 Dec 2022 Yu Cao, Hao Tian, P. Y. Mok

Automatic colorization of anime line drawing has attracted much attention in recent years since it can substantially benefit the animation industry.

Colorization Semantic correspondence

Modeling Field-level Factor Interactions for Fashion Recommendation

no code implementations7 Mar 2022 Yujuan Ding, P. Y. Mok, Xun Yang, Yanghong Zhou

Personalized fashion recommendation aims to explore patterns from historical interactions between users and fashion items and thereby predict the future ones.

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