:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lind, Simon Kristoffersson, Triebel, Rudolph, Krüger, Volker
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2412.07565
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation
by: Ulmer, Maximilian, et al.
Published: (2025)

A Flow-based Credibility Metric for Safety-critical Pedestrian Detection
by: Lyssenko, Maria, et al.
Published: (2024)

Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image
by: Humt, Matthias, et al.
Published: (2025)

Normalizing Flows are Capable Models for Bi-manual Visuomotor Policy
by: Li, Jialong, et al.
Published: (2025)

RECALL: Rehearsal-free Continual Learning for Object Classification
by: Knauer, Markus, et al.
Published: (2022)

RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation
by: Zhou, Shijie, et al.
Published: (2026)

How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?
by: Ulmer, Maximilian, et al.
Published: (2024)

Multi-modal Loop Closure Detection with Foundation Models in Severely Unstructured Environments
by: Gonzalez, Laura Alejandra Encinar, et al.
Published: (2025)

IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex Decomposition
by: Wei, Wenyang, et al.
Published: (2025)

Climate Variable Downscaling with Conditional Normalizing Flows
by: Winkler, Christina, et al.
Published: (2024)

SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
by: Zhao, Qinyu, et al.
Published: (2025)

Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment
by: Chen, Yang, et al.
Published: (2025)

CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
by: Maeda, Takahiro, et al.
Published: (2025)

Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
by: Eckerle, Achim, et al.
Published: (2025)

A Safety-Adapted Loss for Pedestrian Detection in Automated Driving
by: Lyssenko, Maria, et al.
Published: (2024)

FlowConsist: Make Your Flow Consistent with Real Trajectory
by: Zhang, Tianyi, et al.
Published: (2026)

GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes
by: Lin, Beibei, et al.
Published: (2026)

FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching
by: Danese, Danilo, et al.
Published: (2026)

Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
by: García-Hernández, Alberto, et al.
Published: (2024)

Diffusion Models with Deterministic Normalizing Flow Priors
by: Zand, Mohsen, et al.
Published: (2023)

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
by: Hadzic, Arnela, et al.
Published: (2025)

Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
by: Sfikas, Giorgos, et al.
Published: (2025)

Normalizing Flows with Iterative Denoising
by: Chen, Tianrong, et al.
Published: (2026)

U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
by: Tailanian, Matías, et al.
Published: (2022)

GaussianFlowOcc: Sparse and Weakly Supervised Occupancy Estimation using Gaussian Splatting and Temporal Flow
by: Boeder, Simon, et al.
Published: (2025)

PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
by: Meng, Qinglong, et al.
Published: (2024)

The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)

Riemannian Patch Assignment Gradient Flows
by: Gonzalez-Alvarado, Daniel, et al.
Published: (2025)

FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
by: Tan, Shuai, et al.
Published: (2024)

Human-Interpretable Uncertainty Explanations for Point Cloud Registration
by: Gaus, Johannes A., et al.
Published: (2025)

Learning Normal Flow Directly From Event Neighborhoods
by: Yuan, Dehao, et al.
Published: (2024)

Motion and Structure from Event-based Normal Flow
by: Ren, Zhongyang, et al.
Published: (2024)

Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
by: An, Ran, et al.
Published: (2024)

Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
by: Mammadov, Abbas, et al.
Published: (2026)

NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
by: Tarasov, Denis, et al.
Published: (2025)

Normalizing Flows are Capable Generative Models
by: Zhai, Shuangfei, et al.
Published: (2024)

SmartFlow: Robotic Process Automation using LLMs
by: Jain, Arushi, et al.
Published: (2024)

VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
by: Zhou, Yixuan, et al.
Published: (2024)

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models
by: Wu, Kuanting, et al.
Published: (2025)

Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation
by: Liu, Shipeng, et al.
Published: (2025)