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Konrad Schindler

Papers
21

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21papers

Authored papers

21

Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis

arXiv 2025

2025

BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response

arXiv 2025

2025

StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space

arXiv 2025

2025

VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator

arXiv 2025

2025

LitePT: Lighter Yet Stronger Point Transformer

arXiv 2025

2025

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

arXiv 2024

2024

Video Depth without Video Models

CVPR 2025 1

2024

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks

arXiv 2024

2024

LoopSplat: Loop Closure by Registering 3D Gaussian Splats

arXiv 2024

2024

AGBD: A Global-scale Biomass Dataset

arXiv 2024

2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

CVPR 2024 1

2024

Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models

arXiv 2024

2024

Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution

arXiv 2023

2023

Breathing New Life into 3D Assets with Generative Repainting

arXiv 2023

2023

Towards accurate instance segmentation in large-scale LiDAR point clouds

arXiv 2023

2023

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning

arXiv 2023

2023

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control

arXiv 2023

2023

Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries

CVPR 2023 1

2022

Deep Active Learning in Remote Sensing for data efficient Change Detection

arXiv 2020

2020

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

arXiv 2019

2019

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

arXiv 2018

2018

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10

from 21 papers