Fabian Manhardt

papers

1,081

total citations

papers (18)

GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting

CVPR 2022arXiv

153

citations

Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs

ICCV 2021arXiv

citations

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

ECCV 2022arXiv

citations

SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation

CVPR 2024arXiv

citations

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation

CVPR 2023arXiv

citations

IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction

CVPR 2023arXiv

citations

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

ICLR 2025arXiv

citations

Denoising Diffusion via Image-Based Rendering

ICLR 2024arXiv

citations

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation

CVPR 2024arXiv

citations

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field

NEURIPS 2023arXiv

citations

U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds

ICCV 2023arXiv

citations

MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision

CVPR 2024arXiv

citations

Learning Neural Exposure Fields for View Synthesis

NEURIPS 2025arXiv

citations

KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation

CVPR 2024arXiv

citations

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

CVPR 2021

citations

Fabian Manhardt

papers (18)

SPARF: Neural Radiance Fields From Sparse and Noisy Poses

SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

Self6D: Self-Supervised Monocular 6D Object Pose Estimation

GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting

Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation

IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

Denoising Diffusion via Image-Based Rendering

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field

U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds

MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision

Learning Neural Exposure Fields for View Synthesis

KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

papers (18)

SPARF: Neural Radiance Fields From Sparse and Noisy Poses

SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

Self6D: Self-Supervised Monocular 6D Object Pose Estimation

GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting

Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation

IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

Denoising Diffusion via Image-Based Rendering

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field

U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds

MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision

Learning Neural Exposure Fields for View Synthesis

KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation