most citedSGDiff: A Style Guided Diffusion Model for Fashion Synthesis

41 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20248 cited

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results

Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +27

This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript…

cs.CV20243 cited

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

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 hu…

cs.CV202341 cited

SGDiff: A Style Guided Diffusion Model for Fashion Synthesis

Zhengwentai Sun, Yanghong Zhou, Honghong He +1

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.…

cs.CV2023

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

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 instan…

cs.CV20234 cited

AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models

Yu Cao, Xiangqiao Meng, P. Y. Mok +3

It is a time-consuming and tedious work for manually colorizing anime line drawing images, which is an essential stage in cartoon animation creation pipeline. Reference-based line…