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20182026
most citedMoiré Photo Restoration Using Multiresolution Convolutional Neural Networks

150 citations · 167 across the 25 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Generalizable Single-view Object Pose Estimation by Two-side Generating and Matching

Yujing Sun, Caiyi Sun, Yuan Liu +2

In this paper, we present a novel generalizable object pose estimation method to determine the object pose using only one RGB image. Unlike traditional approaches that rely on inst…

cs.CV2024

Towards Practical Human Motion Prediction with LiDAR Point Clouds

Xiao Han, Yiming Ren, Yichen Yao +2

Human motion prediction is crucial for human-centric multimedia understanding and interacting. Current methods typically rely on ground truth human poses as observed input, which i…

cs.CV2024★ 1 cited

LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

Yiming Ren, Xiao Han, Yichen Yao +3

LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely…

cs.CV2024★ 1 cited

LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment

Peishan Cong, Ziyi Wang, Zhiyang Dou +7

Language-guided scene-aware human motion generation has great significance for entertainment and robotics. In response to the limitations of existing datasets, we introduce LaserHu…

cs.CV2024

HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes

Yichen Yao, Zimo Jiang, Yujing Sun +4

Human-centric 3D scene understanding has recently drawn increasing attention, driven by its critical impact on robotics. However, human-centric real-life scenarios are extremely di…

cs.CV2024

Extreme Two-View Geometry From Object Poses with Diffusion Models

Yujing Sun, Caiyi Sun, Yuan Liu +2

Human has an incredible ability to effortlessly perceive the viewpoint difference between two images containing the same object, even when the viewpoint change is astonishingly vas…