Konrad Schindler
- Papers
- 21
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Authored papers
21Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis
arXiv 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
arXiv 2025
LitePT: Lighter Yet Stronger Point Transformer
arXiv 2025
StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space
arXiv 2025
VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator
arXiv 2025
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion
arXiv 2024
Video Depth without Video Models
CVPR 2025 1
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
arXiv 2024
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
arXiv 2024
AGBD: A Global-scale Biomass Dataset
arXiv 2024
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
CVPR 2024 1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models
arXiv 2024
Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution
arXiv 2023
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
arXiv 2023
Breathing New Life into 3D Assets with Generative Repainting
arXiv 2023
Towards accurate instance segmentation in large-scale LiDAR point clouds
arXiv 2023
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
arXiv 2023
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
CVPR 2023 1
Deep Active Learning in Remote Sensing for data efficient Change Detection
arXiv 2020
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
arXiv 2019
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
arXiv 2018
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