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Fraunhofer HHI
- Berlin
- https://iphome.hhi.de/gard/
Stars
[CVPR 2025 Highlight] MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
SYNBUILD-3D: A large, multi-modal, and semantically rich synthetic dataset of 3D building models at Level of Detail 4
SpatialGen: Layout-guided 3D Indoor Scene Generation
[ICCV'25 Oral] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
[NeurIPS2023] PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas(or 360-degree image)
Visualize PyTorch tensors with a single line of code.
[TIP'24] Key-Axis-based Symmetry Axis Localization (Tags: rotational symmetry; rotation; symmetry; symmetry axis; pose estimation; 6DoF; BOP Challenge; toolkit)
FoundPose: Unseen Object Pose Estimation with Foundation Features, ECCV 2024
Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
[ICCV 2025] Keypoint detection and description learned from image pairs only - no depth, no pose, no artificial augmentation required.
Minimal solvers for calibrated camera pose estimation
[CVPR'22] CrossLoc localization: a cross-modal visual representation learning method for absolute localization
Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
[CVPR 2024] Code release for "InstanceDiffusion: Instance-level Control for Image Generation"
Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.
[IROS Submission] "360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance" by Shreyas Kulkarni, Peng Yin, Sebastian Scherer.