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20222026
most citedBeyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

15 citations · 16 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

Qiuhua Chen, Changning Yu, Na Huang +2

The diagnosis of spinal diseases is often assisted by 3D imaging techniques in clinical practice. However, precise 3D spinal assessment is limited by the high costs of 3D imaging h…

cs.CV2024

Revisiting Marr in Face: The Building of 2D--2.5D--3D Representations in Deep Neural Networks

Xiangyu Zhu, Chang Yu, Jiankuo Zhao +3

David Marr's seminal theory of vision proposes that the human visual system operates through a sequence of three stages, known as the 2D sketch, the 2.5D sketch, and the 3D model.…

cs.CV2024★ 1 cited

Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering

Chang Yu, Junran Peng, Xiangyu Zhu +3

The text-to-image synthesis by diffusion models has recently shown remarkable performance in generating high-quality images. Although performs well for simple texts, the models may…

cs.CV2023

Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images

Chang Yu, Xiangyu Zhu, Xiaomei Zhang +2

The function of constructing the hierarchy of objects is important to the visual process of the human brain. Previous studies have successfully adopted capsule networks to decompos…

cs.CV2022★ 15 cited

Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

Xiangyu Zhu, Chang Yu, Di Huang +3

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitud…

cs.CV2022

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network

Chang Yu, Xiangyu Zhu, Xiaomei Zhang +3

Capsule networks are designed to present the objects by a set of parts and their relationships, which provide an insight into the procedure of visual perception. Although recent wo…