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20182023
most citedNeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

85 citations · 442 across the 44 of their papers we have counts for

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Showing 2022Show all

13 papers · 1 filter

eess.IV2022★ 11 cited

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Yu Fang, Lanzhuju Mei, Changjian Li +4

Cone beam computed tomography (CBCT) has been widely used in clinical practice, especially in dental clinics, while the radiation dose of X-rays when capturing has been a long conc…

cs.CV2022★ 2 cited

ToothInpaintor: Tooth Inpainting from Partial 3D Dental Model and 2D Panoramic Image

Yuezhi Yang, Zhiming Cui, Changjian Li +1

In orthodontic treatment, a full tooth model consisting of both the crown and root is indispensable in making the treatment plan. However, acquiring tooth root information to obtai…

cs.CV2022★ 1 cited

NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies

Xiaoxiao Long, Cheng Lin, Lingjie Liu +5

We present a novel method, called NeuralUDF, for reconstructing surfaces with arbitrary topologies from 2D images via volume rendering. Recent advances in neural rendering based re…

cs.CV2022★ 4 cited

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

Zhiyang Dou, Qingxuan Wu, Cheng Lin +5

In this paper, we introduce a set of simple yet effective TOken REduction (TORE) strategies for Transformer-based Human Mesh Recovery from monocular images. Current SOTA performanc…

cs.CV2022★ 6 cited

Zero-shot point cloud segmentation by transferring geometric primitives

Runnan Chen, Xinge Zhu, Nenglun Chen +4

We investigate transductive zero-shot point cloud semantic segmentation, where the network is trained on seen objects and able to segment unseen objects. The 3D geometric elements…

cs.CV2022★ 5 cited

Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos

Yilin Wen, Hao Pan, Lei Yang +3

Understanding dynamic hand motions and actions from egocentric RGB videos is a fundamental yet challenging task due to self-occlusion and ambiguity. To address occlusion and ambigu…