Cover Image

$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ranasinghe, Yasiru, Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M.
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2022)

Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2024)

$\mathsf{CSMAE~}$:~Cataract Surgical Masked Autoencoder (MAE) based Pre-training
by: Shah, Nisarg A., et al.
Published: (2025)

Dreamguider: Improved Training free Diffusion-based Conditional Generation
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)

Stable Diffusion Models are Secretly Good at Visual In-Context Learning
by: Oorloff, Trevine, et al.
Published: (2025)

MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)

Scale-Wise VAR is Secretly Discrete Diffusion
by: Kumar, Amandeep, et al.
Published: (2025)

Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2024)

Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception
by: Thushara, Rusiru, et al.
Published: (2026)

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2024)

Density Estimation and Crowd Counting
by: Sunil, Balachandra Devarangadi, et al.
Published: (2025)

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models
by: Ranasinghe, Yasiru, et al.
Published: (2025)

CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting
by: Fujii, Ryo, et al.
Published: (2024)

PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition
by: Narayan, Kartik, et al.
Published: (2024)

Analysis of Unstructured High-Density Crowded Scenes for Crowd Monitoring
by: Matov, Alexandre
Published: (2024)

Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection
by: Ranasinghe, Yasiru, et al.
Published: (2026)

SINR: Sparsity Driven Compressed Implicit Neural Representations
by: Jayasundara, Dhananjaya, et al.
Published: (2025)

Scaling Transformer-Based Novel View Synthesis Models with Token Disentanglement and Synthetic Data
by: Nair, Nithin Gopalakrishnan, et al.
Published: (2025)

L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation
by: Xu, Guoliang, et al.
Published: (2025)

EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction
by: Zhao, Bingxue, et al.
Published: (2026)

Density-based Object Detection in Crowded Scenes
by: Zhao, Chenyang, et al.
Published: (2025)

CrowdSplat: Exploring Gaussian Splatting For Crowd Rendering
by: Sun, Xiaohan, et al.
Published: (2025)

Count2Density: Crowd Density Estimation without Location-level Annotations
by: Litrico, Mattia, et al.
Published: (2025)

CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes
by: Dähling, Marius, et al.
Published: (2025)

Learning Extremely High Density Crowds as Active Matters
by: He, Feixiang, et al.
Published: (2025)

Evaluating CrowdSplat: Perceived Level of Detail for Gaussian Crowds
by: Sun, Xiaohan, et al.
Published: (2025)

CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability
by: Savner, Siddharth Singh, et al.
Published: (2022)

Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
by: Qian, Yifei, et al.
Published: (2023)

RACANet: Reliability-Aware Crowd Anchor Network for RGB-T Crowd Counting
by: Shi, Jinghao, et al.
Published: (2026)

One-Shot Crowd Counting With Density Guidance For Scene Adaptation
by: Chen, Jiwei, et al.
Published: (2026)

Embodied Crowd Counting
by: Long, Runling, et al.
Published: (2025)

HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
by: Vuong, An Dinh, et al.
Published: (2023)

Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes
by: Cai, Zhi, et al.
Published: (2024)

DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video
by: Wen, Hao, et al.
Published: (2025)

FGA: Fourier-Guided Attention Network for Crowd Count Estimation
by: Chaudhuri, Yashwardhan, et al.
Published: (2024)

ANTHROPOS-V: benchmarking the novel task of Crowd Volume Estimation
by: Collorone, Luca, et al.
Published: (2025)

Multi-View Crowd Counting With Self-Supervised Learning
by: Mo, Hong, et al.
Published: (2025)

CountFormer: Multi-View Crowd Counting Transformer
by: Mo, Hong, et al.
Published: (2024)

Multi-modal Crowd Counting via Modal Emulation
by: Wang, Chenhao, et al.
Published: (2024)

DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
by: Madani, Seyedehanita, et al.
Published: (2025)