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Zhihong Ding

4 accepted papers

2025

CompleteMe: Reference-based Human Image Completion

ICCV 2025poster

Recent methods for human image completion can reconstruct plausible body shapes but often fail to preserve unique details, such as specific clothing patterns or distinctive accessories, without explicit reference images. Even state-of-the-art reference-based inpainting approaches struggle to accurat…

Cited by 0SourcePDFScholar
2025

MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis

CVPR 2025poster

Shadows are often underconsidered or even ignored in image editing applications, limiting the realism of the edited results. In this paper, we introduce MetaShadow, a three-in-one versatile framework that enables detection, removal, and controllable synthesis of shadows in natural images in an objec…

Cited by 2SourcePDFScholar
2022

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers

ECCV 2022poster

"We study recognizing attributes for objects in visual scenes. We consider attributes to be any phrases that describe an object’s physical and semantic properties, and its relationships with other objects. Existing work studies attribute prediction in a closed setting with a fixed set of attributes,…

Cited by 24SourcePDFScholar
2021

Learning To Predict Visual Attributes in the Wild

CVPR 2021poster

Visual attributes constitute a large portion of information contained in a scene. Objects can be described using a wide variety of attributes which portray their visual appearance (color, texture), geometry (shape, size, posture), and other intrinsic properties (state, action). Existing work is most…

Cited by 132PDFScholar