Imagen de Portada

Evaluating CrowdSplat: Perceived Level of Detail for Gaussian Crowds

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sun, Xiaohan, Xu, Yinghan, Dingliana, John, O'Sullivan, Carol
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

From Far and Near: Perceptual Evaluation of Crowd Representations Across Levels of Detail
por: Sun, Xiaohan, et al.
Publicado: (2025)

SplatBus: A Gaussian Splatting Viewer Framework via GPU Interprocess Communication
por: Xu, Yinghan, et al.
Publicado: (2026)

LayerGS: Decomposition and Inpainting of Layered 3D Human Avatars via 2D Gaussian Splatting
por: Xu, Yinghan, et al.
Publicado: (2026)

CrowdGaussian: Reconstructing High-Fidelity 3D Gaussians for Human Crowd from a Single Image
por: Song, Yizheng, et al.
Publicado: (2026)

CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting
por: Chen, Runze, et al.
Publicado: (2024)

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

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

Perceptually Optimized Color Selection for Visualization
por: Maji, Subhrajyoti, et al.
Publicado: (2022)

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

CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
por: Cheng, Zhigang, et al.
Publicado: (2025)

LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
por: Kulhanek, Jonas, et al.
Publicado: (2025)

Embodied Crowd Counting
por: Long, Runling, et al.
Publicado: (2025)

LOD-GS: Level-of-Detail-Sensitive 3D Gaussian Splatting for Detail Conserved Anti-Aliasing
por: Yang, Zhenya, et al.
Publicado: (2025)

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

$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion Models
por: Ranasinghe, Yasiru, et al.
Publicado: (2023)

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

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

Rethinking Global Context in Crowd Counting
por: Sun, Guolei, et al.
Publicado: (2021)

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

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

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

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

Single Domain Generalization for Crowd Counting
por: Peng, Zhuoxuan, et al.
Publicado: (2024)

Learning Discriminative Features for Crowd Counting
por: Chen, Yuehai, et al.
Publicado: (2023)

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

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

Curriculum for Crowd Counting -- Is it Worthy?
por: Khan, Muhammad Asif, et al.
Publicado: (2024)

GaussNav: Gaussian Splatting for Visual Navigation
por: Lei, Xiaohan, et al.
Publicado: (2024)

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

EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
por: Yan, Yuqing, et al.
Publicado: (2025)

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

Local Information Matters: A Rethink of Crowd Counting
por: Pan, Tianhang, et al.
Publicado: (2025)

Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
por: Guo, Mingyue, et al.
Publicado: (2023)

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

The Effectiveness of a Simplified Model Structure for Crowd Counting
por: Chen, Lei, et al.
Publicado: (2024)

DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes
por: Zhao, Yunqi, et al.
Publicado: (2024)

CREMD: Crowd-Sourced Emotional Multimodal Dogs Dataset
por: Baek, Jinho, et al.
Publicado: (2026)

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

MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction
por: Guédon, Antoine, et al.
Publicado: (2025)