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20182023
most citedSelf-calibrating Deep Photometric Stereo Networks

5 citations · 21 across the 9 of their papers we have counts for

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22 papers · 1 filter

cs.CV20232 cited

Surface Geometry Processing: An Efficient Normal-based Detail Representation

Wuyuan Xie, Miaohui Wang, Di Lin +2

With the rapid development of high-resolution 3D vision applications, the traditional way of manipulating surface detail requires considerable memory and computing time. To address…

cs.CV2023

L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors

Zheng Chang, Shuchen Weng, Peixuan Zhang +3

Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume th…

cs.CV20231 cited

Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

Yangguang Wang, Xiang Zhang, Mingyuan Lin +4

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to t…

cs.CV2023

Spike Stream Denoising via Spike Camera Simulation

Liwen hu, Lei Ma, Zhaofei Yu +2

As a neuromorphic sensor with high temporal resolution, the spike camera shows enormous potential in high-speed visual tasks. However, the high-speed sampling of light propagation…

cs.CV2023

DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering

Zongrui Li, Qian Zheng, Boxin Shi +2

Uncalibrated photometric stereo (UPS) is challenging due to the inherent ambiguity brought by the unknown light. Although the ambiguity is alleviated on non-Lambertian objects, the…

cs.CV2023

EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision

Jianping Jiang, Jiahe Li, Baowen Zhang +2

Event camera shows great potential in 3D hand pose estimation, especially addressing the challenges of fast motion and high dynamic range in a low-power way. However, due to the as…