Chenru Jiang
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View article: Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Open
This paper delves into the study of 3D point cloud reconstruction from a single image. Our objective is to develop the Consistency Diffusion Model, exploring synergistic 2D and 3D priors in the Bayesian framework to ensure superior consist…
View article: 3D-CDRGP: Towards Cross-Device Robotic Grasping Policy in 3D Open World
3D-CDRGP: Towards Cross-Device Robotic Grasping Policy in 3D Open World Open
Given the diversity of devices and the product upgrades, cross-device research has become an urgent issue that needs to be tackled. To this end, we pioneer in probing the cross-device (cameras & robotics) grasping policy in the 3D open wor…
View article: Revisiting A Simple MLP Framework for Z-axis Rotation-invariant Point Cloud Place Recognition
Revisiting A Simple MLP Framework for Z-axis Rotation-invariant Point Cloud Place Recognition Open
The objective of point cloud place recognition is to convert a point cloud into a global descriptor that can be utilized in autonomous driving applications to identify the best-matched road scene from an extensive dataset. However, capturi…
View article: Context-Based Local-Global Fusion Network for 3d Point Cloud Classification and Segmentation
Context-Based Local-Global Fusion Network for 3d Point Cloud Classification and Segmentation Open
View article: Revisiting a Simple Mlp Framework for Z-Axis Rotation-Invariant Point Cloud Place Recognition
Revisiting a Simple Mlp Framework for Z-Axis Rotation-Invariant Point Cloud Place Recognition Open
View article: Open-Pose 3d Zero-Shot Learning: Benchmark and Challenges
Open-Pose 3d Zero-Shot Learning: Benchmark and Challenges Open
View article: Z-Axis Rotation-Invariant Point Cloud Placerecognition for Autonomous Driving System
Z-Axis Rotation-Invariant Point Cloud Placerecognition for Autonomous Driving System Open
View article: Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges
Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges Open
With the explosive 3D data growth, the urgency of utilizing zero-shot learning to facilitate data labeling becomes evident. Recently, methods transferring language or language-image pre-training models like Contrastive Language-Image Pre-t…
View article: Class Agnostic and Specific Consistency Learning for Weakly-Supervised Point Cloud Semantic Segmentation
Class Agnostic and Specific Consistency Learning for Weakly-Supervised Point Cloud Semantic Segmentation Open
View article: Towards Simple and Accurate Human Pose Estimation With Stair Network
Towards Simple and Accurate Human Pose Estimation With Stair Network Open
In this paper, we focus on tackling the precise keypoint coordinates regression task. Most existing approaches adopt complicated networks with a large number of parameters, leading to a heavy model with poor cost-effectiveness in practice.…
View article: PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis Open
Directly processing 3D point cloud data becomes dominant in classification and segmentation tasks. Present mainstream point based methods usually focus on learning in either geometric space ( PointNet++) or semantic space ( DGCNN). Owing t…
View article: Towards Simple and Accurate Human Pose Estimation with Stair Network
Towards Simple and Accurate Human Pose Estimation with Stair Network Open
In this paper, we focus on tackling the precise keypoint coordinates regression task. Most existing approaches adopt complicated networks with a large number of parameters, leading to a heavy model with poor cost-effectiveness in practice.…
View article: Pointgs: Bridging and Fusing Geometric and Semantic Space for 3d Point Cloud Analysis
Pointgs: Bridging and Fusing Geometric and Semantic Space for 3d Point Cloud Analysis Open