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20212026
most citedHouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios

3 citations · 6 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Surfsvr: 2D Surface Priors as 3D Geometric Regularizers for Sparse Voxel Reconstruction

Yan Di, Chengxi Li, Yaoxing Wang +7

Sparse voxel reconstruction offers an efficient representation for high-fidelity 3D modeling, yet its geometry is commonly optimized from local photometric evidence and discrete vi…

cs.CV2023

GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence

Pengyuan Wang, Takuya Ikeda, Robert Lee +1

Category-level pose estimation is a challenging task with many potential applications in computer vision and robotics. Recently, deep-learning-based approaches have made great prog…

cs.CV2023★ 2 cited

CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction

Yan Di, Chenyangguang Zhang, Pengyuan Wang +6

In this paper, we present a novel shape reconstruction method leveraging diffusion model to generate 3D sparse point cloud for the object captured in a single RGB image. Recent met…

cs.CV2022★ 3 cited

HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios

HyunJun Jung, Guangyao Zhai, Shun-Cheng Wu +10

Estimating 6D object poses is a major challenge in 3D computer vision. Building on successful instance-level approaches, research is shifting towards category-level pose estimation…

cs.CV2022

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects

Pengyuan Wang, HyunJun Jung, Yitong Li +6

Object pose estimation is crucial for robotic applications and augmented reality. Beyond instance level 6D object pose estimation methods, estimating category-level pose and shape…

cs.CV2021

Polarimetric Pose Prediction

Daoyi Gao, Yitong Li, Patrick Ruhkamp +6

Light has many properties that vision sensors can passively measure. Colour-band separated wavelength and intensity are arguably the most commonly used for monocular 6D object pose…

cs.CV2021★ 1 cited

EventHPE: Event-based 3D Human Pose and Shape Estimation

Shihao Zou, Chuan Guo, Xinxin Zuo +6

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals…