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20192025
most citedReinventing 2D Convolutions for 3D Images

116 citations · 217 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction

Yi Zhang, Xiaoyang Huang, Yishun Dou +5

We present InstantSticker, a disentangled reconstruction pipeline based on Image-Based Lighting (IBL), which focuses on highly realistic decal blending, simulates stickers attached…

cs.CV2023★ 1 cited

Frequency-Modulated Point Cloud Rendering with Easy Editing

Yi Zhang, Xiaoyang Huang, Bingbing Ni +2

We develop an effective point cloud rendering pipeline for novel view synthesis, which enables high fidelity local detail reconstruction, real-time rendering and user-friendly edit…

cs.CV2023

AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

Xiaoyang Huang, Yanjun Wang, Yang Liu +4

Spatial audio, which focuses on immersive 3D sound rendering, is widely applied in the acoustic industry. One of the key problems of current spatial audio rendering methods is the…

cs.CV2022★ 3 cited

Boosting Point Clouds Rendering via Radiance Mapping

Xiaoyang Huang, Yi Zhang, Bingbing Ni +3

Recent years we have witnessed rapid development in NeRF-based image rendering due to its high quality. However, point clouds rendering is somehow less explored. Compared to NeRF-b…

cs.CV2022★ 3 cited

Representation-Agnostic Shape Fields

Xiaoyang Huang, Jiancheng Yang, Yanjun Wang +5

3D shape analysis has been widely explored in the era of deep learning. Numerous models have been developed for various 3D data representation formats, e.g., MeshCNN for meshes, Po…

cs.CV2020★ 16 cited

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes

Jiancheng Yang, Yi He, Xiaoyang Huang +4

This paper addresses a fundamental challenge in 3D medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance…