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2020 – today
- 2026
[j1]Robin Horst
, Ralf Dörner, Saptarshi Neil Sinha, Paul Julius Kühn:
Computational game content generation and socially responsible design: Current practices, challenges, and open problems. Comput. Graph. 139: 104683 (2026)- [i8]Paul Julius Kühn, Cedric Spengler, Michael Weinmann, Arjan Kuijper, Saptarshi Neil Sinha:
Optimizing Multi-Modal Models for Image-Based Shape Retrieval: The Role of Pre-Alignment and Hard Contrastive Learning. CoRR abs/2603.06982 (2026) - [i7]Paul Julius Kühn, Mika Pommeranz, Arjan Kuijper, Saptarshi Neil Sinha:
SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection. CoRR abs/2604.26633 (2026) - [i6]Paul Julius Kühn, Saptarshi Neil Sinha, Jakob Hansen, Robin Horst:
Human-in-the-Loop Atlas-Based 3D Asset Segmentation for Interactive Content Workflows. CoRR abs/2606.17824 (2026) - [i5]Paul Julius Kühn, Saptarshi Neil Sinha, Tiago Kleist, Richard Hoffmann, Arjan Kuijper, Michael Weinmann:
ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection. CoRR abs/2607.27065 (2026) - 2025
- [c8]Saptarshi Neil Sinha, Robin Horst, Irina-Mihaela Ciortan, Holger Graf, Arjan Kuijper, Michael Weinmann:
ImmersiveAutochrome: Enhanced Digitized Mono-Autochrome Viewing through Deep Learning and Virtual Reality. VR Workshops 2025: 29-34 - [i4]Saptarshi Neil Sinha, Julius Kühn, Johannes Koppe, Arjan Kuijper, Michael Weinmann:
Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data. CoRR abs/2505.22291 (2025) - [i3]Paul Julius Kühn, Duc Anh Nguyen, Arjan Kuijper, Holger Graf, Dieter W. Fellner, Saptarshi Neil Sinha:
RangeSAM: Leveraging Visual Foundation Models for Range-View repesented LiDAR segmentation. CoRR abs/2509.15886 (2025) - [i2]Saptarshi Neil Sinha, Paul Julius Kühn, Mika Silvan Goschke, Michael Weinmann:
6D Strawberry Pose Estimation: Real-time and Edge AI Solutions Using Purely Synthetic Training Data. CoRR abs/2511.11307 (2025) - 2024
- [c7]Saptarshi Neil Sinha, Julius Kühn, Johannes Koppe, Holger Graf, Michael Weinmann:
Digital Restoration of Visual Art using Synthetic Training, Deep Segmentation and Inpainting. CW 2024: 338-339 - [c6]Saptarshi Neil Sinha, Muhammad Ali Shahid, Michael Weinmann:
MACGaussian: Robust 3D Gaussian Splatting from Sparse Input Views Using High-Precision Measurement-Arm-Camera (MAC) Capture. ECCV Workshops (5) 2024: 235-248 - [c5]Saptarshi Neil Sinha, Paul Julius Kühn, Pavel Rojtberg, Holger Graf, Arjan Kuijper, Michael Weinmann:
Semantic Stylization and Shading via Segmentation Atlas utilizing Deep Learning Approaches. STAG 2024 - [c4]Saptarshi Neil Sinha, Holger Graf, Michael Weinmann:
SemanticSplatStylization: Semantic scene stylization based on 3D Gaussian splatting and class-based style transfer. GCH 2024 - [c3]Saptarshi Neil Sinha, Julius Kühn, Holger Graf, Michael Weinmann:
SpectralSplatsViewer: An Interactive Web-Based Tool for Visualizing Cross-Spectral Gaussian Splats. Web3D 2024: 22:1-22:10 - [c2]Saptarshi Neil Sinha, Felix Gorschlüter, Holger Graf, Michael Weinmann:
DeepMaterialInsights: A Web-based Framework Harnessing Deep Learning for Estimation, Visualization, and Export of Material Assets from Images. Web3D 2024: 24:1-24:5 - [i1]Saptarshi Neil Sinha, Holger Graf, Michael Weinmann:
SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis. CoRR abs/2408.06975 (2024) - 2023
- [c1]Saptarshi Neil Sinha, Michael Weinmann:
Portrait2Bust: DualStyleGAN-based Portrait Image Stylization Based on Bust Sculpture Images. GCH 2023: 67-73
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