Copertina

In-Place Panoptic Radiance Field Segmentation with Perceptual Prior for 3D Scene Understanding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Li, Shenghao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization
di: Li, Wenzhao, et al.
Pubblicazione: (2023)

PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding
di: Zhai, Hongjia, et al.
Pubblicazione: (2025)

Scene-Centric Unsupervised Panoptic Segmentation
di: Hahn, Oliver, et al.
Pubblicazione: (2025)

3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
di: Wu, Ruipu, et al.
Pubblicazione: (2024)

SPORTS: Simultaneous Panoptic Odometry, Rendering, Tracking and Segmentation for Urban Scenes Understanding
di: Yang, Zhiliu, et al.
Pubblicazione: (2025)

Segment Anything in 3D with Radiance Fields
di: Cen, Jiazhong, et al.
Pubblicazione: (2023)

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
di: Zhang, Wenyuan, et al.
Pubblicazione: (2025)

Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields
di: Jarman, Scout, et al.
Pubblicazione: (2026)

2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
di: Wu, Biao, et al.
Pubblicazione: (2024)

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
di: Yang, Jiezhi, et al.
Pubblicazione: (2024)

UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction
di: Cao, Jin, et al.
Pubblicazione: (2025)

Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
di: Lee, Hyunjee, et al.
Pubblicazione: (2024)

SAS: Segment Any 3D Scene with Integrated 2D Priors
di: Li, Zhuoyuan, et al.
Pubblicazione: (2025)

Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review
di: Nguyen, Thang-Anh-Quan, et al.
Pubblicazione: (2024)

Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene
di: Wu, Shengqiong, et al.
Pubblicazione: (2025)

Evaluate Geometry of Radiance Fields with Low-frequency Color Prior
di: Fang, Qihang, et al.
Pubblicazione: (2023)

Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering
di: Robert, Damien, et al.
Pubblicazione: (2024)

PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving
di: Shi, Yining, et al.
Pubblicazione: (2024)

4D Panoptic Scene Graph Generation
di: Yang, Jingkang, et al.
Pubblicazione: (2024)

From Implicit Ambiguity to Explicit Solidity: Diagnosing Interior Geometric Degradation in Neural Radiance Fields for Dense 3D Scene Understanding
di: Zhao, Jiangsan, et al.
Pubblicazione: (2026)

LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
di: Qu, Delin, et al.
Pubblicazione: (2024)

InstanceBEV: Unifying Instance and BEV Representation for 3D Panoptic Segmentation
di: Li, Feng, et al.
Pubblicazione: (2025)

Panoptic Scene Graph Generation with Semantics-Prototype Learning
di: Li, Li, et al.
Pubblicazione: (2023)

GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding
di: Chou, Zi-Ting, et al.
Pubblicazione: (2024)

COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
di: Wei, Wenbo, et al.
Pubblicazione: (2024)

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field
di: Fan, Jinlong, et al.
Pubblicazione: (2025)

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
di: Gross, Markus, et al.
Pubblicazione: (2025)

Zero-Shot 4D Lidar Panoptic Segmentation
di: Zhang, Yushan, et al.
Pubblicazione: (2025)

G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles
di: Meric, Adil, et al.
Pubblicazione: (2024)

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
di: Li, Xiangtai, et al.
Pubblicazione: (2023)

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
di: Zhang, Jingbo, et al.
Pubblicazione: (2023)

NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation
di: Chen, Jiahao, et al.
Pubblicazione: (2024)

Depth-aware Panoptic Segmentation
di: Nguyen, Tuan, et al.
Pubblicazione: (2024)

PanopticQuery: Unified Query-Time Reasoning for 4D Scenes
di: Tang, Ruilin, et al.
Pubblicazione: (2026)

S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
di: Li, Xingyi, et al.
Pubblicazione: (2024)

PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM
di: Chen, Runnan, et al.
Pubblicazione: (2024)

PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
di: Fu, Xiao, et al.
Pubblicazione: (2023)

3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation
di: Xiao, Zihao, et al.
Pubblicazione: (2024)

Feasibility of Neural Radiance Fields for Crime Scene Video Reconstruction
di: Malik, Shariq Nadeem, et al.
Pubblicazione: (2024)

Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
di: Gao, Zihan, et al.
Pubblicazione: (2024)