Konrad Schindler

papers

1,608

total citations

papers (27)

In the Light of Feature Distributions: Moment Matching for Neural Style Transfer

CVPR 2021arXiv

citations

Learning Graph Regularisation for Guided Super-Resolution

CVPR 2022arXiv

citations

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

NEURIPS 2022arXiv

citations

From Two Rolling Shutters to One Global Shutter

CVPR 2020arXiv

citations

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds

CVPR 2024arXiv

citations

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

CVPR 2024arXiv

citations

Dynamic LiDAR Re-simulation using Compositional Neural Fields

CVPR 2024arXiv

citations

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

ICCV 2025arXiv

citations

Video Depth without Video Models

CVPR 2025arXiv

citations

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

ICLR 2025arXiv

citations

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

CVPR 2024arXiv

citations

Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

ECCV 2020arXiv

citations

Solving Inverse Problems with FLAIR

NEURIPS 2025arXiv

citations

A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking

NEURIPS 2025arXiv

citations

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation

ICCV 2021arXiv

citations

A Variational Perspective on Generative Protein Fitness Optimization

ICML 2025arXiv

citations

BiasBed - Rigorous Texture Bias Evaluation

CVPR 2023arXiv

citations

GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation

ICLR 2025arXiv

citations

Box2Poly: Memory

AAAI 2024

citations

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation

CVPR 2023

citations

BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information

CVPR 2022

citations

Konrad Schindler

papers (27)

Predator: Registration of 3D Point Clouds With Low Overlap

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Neural LiDAR Fields for Novel View Synthesis

Guided Depth Super-Resolution by Deep Anisotropic Diffusion

Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries

Dynamic 3D Scene Analysis by Point Cloud Accumulation

In the Light of Feature Distributions: Moment Matching for Neural Style Transfer

Learning Graph Regularisation for Guided Super-Resolution

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

From Two Rolling Shutters to One Global Shutter

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds

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

Dynamic LiDAR Re-simulation using Compositional Neural Fields

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

Video Depth without Video Models

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

Solving Inverse Problems with FLAIR

A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation

A Variational Perspective on Generative Protein Fitness Optimization

BiasBed - Rigorous Texture Bias Evaluation

GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation

Box2Poly: Memory

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation

BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information

papers (27)

Predator: Registration of 3D Point Clouds With Low Overlap

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Neural LiDAR Fields for Novel View Synthesis

Guided Depth Super-Resolution by Deep Anisotropic Diffusion

Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries

Dynamic 3D Scene Analysis by Point Cloud Accumulation

In the Light of Feature Distributions: Moment Matching for Neural Style Transfer

Learning Graph Regularisation for Guided Super-Resolution

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

From Two Rolling Shutters to One Global Shutter

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds

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

Dynamic LiDAR Re-simulation using Compositional Neural Fields

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

Video Depth without Video Models

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

Solving Inverse Problems with FLAIR

A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation

A Variational Perspective on Generative Protein Fitness Optimization

BiasBed - Rigorous Texture Bias Evaluation

GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation

Box2Poly: Memory

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation

BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information