Image de couverture de livre

PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Meng, Ziqiao, Wang, Qichao, Dou, Zhiyang, Song, Zixing, Zhou, Zhipeng, King, Irwin, Zhao, Peilin
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
par: Meng, Ziqiao, et autres
Publié: (2025)

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
par: Wang, Qichao, et autres
Publié: (2025)

Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs
par: Song, Zixing, et autres
Publié: (2026)

ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
par: Lei, Jiabao, et autres
Publié: (2025)

QuadLink: Autoregressive Quad-Dominant Mesh Generation via Point-Relation Learning
par: Zhang, Yiheng, et autres
Publié: (2026)

Continual Optimization with Symmetry Teleportation for Multi-Task Learning
par: Zhou, Zhipeng, et autres
Publié: (2025)

DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction
par: Liu, Yiheng, et autres
Publié: (2025)

VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models
par: Cui, Wenqian, et autres
Publié: (2025)

Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction
par: Chang, Chun-Peng, et autres
Publié: (2026)

Recent Advances in Speech Language Models: A Survey
par: Cui, Wenqian, et autres
Publié: (2024)

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation
par: Hwang, Inwoo, et autres
Publié: (2026)

Generate Point Clouds with Multiscale Details from Graph-Represented Structures
par: Yang, Ximing, et autres
Publié: (2021)

SegNSP: Revisiting Next Sentence Prediction for Linear Text Segmentation
par: Isidro, José, et autres
Publié: (2026)

Dynamic Realms: 4D Content Analysis, Recovery and Generation with Geometric, Topological and Physical Priors
par: Dou, Zhiyang
Publié: (2024)

Geometric Prior Based Deep Human Point Cloud Geometry Compression
par: Wu, Xinju, et autres
Publié: (2023)

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis
par: Ai, Zixiang, et autres
Publié: (2025)

PointBA: Towards Backdoor Attacks in 3D Point Cloud
par: Li, Xinke, et autres
Publié: (2021)

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery
par: Xu, Guikun, et autres
Publié: (2025)

Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
par: Zheng, Zihao, et autres
Publié: (2026)

A Survey on Vision-Language-Action Models for Embodied AI
par: Ma, Yueen, et autres
Publié: (2024)

Point-Level Topological Representation Learning on Point Clouds
par: Grande, Vincent P., et autres
Publié: (2024)

Next-Scale Autoregressive Models for Text-to-Motion Generation
par: Zheng, Zhiwei, et autres
Publié: (2026)

Modeling Continuous Motion for 3D Point Cloud Object Tracking
par: Luo, Zhipeng, et autres
Publié: (2023)

Rectified Point Flow: Generic Point Cloud Pose Estimation
par: Sun, Tao, et autres
Publié: (2025)

PVINet: Point-Voxel Interlaced Network for Point Cloud Compression
par: Deng, Xuan, et autres
Publié: (2025)

Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
par: Zeng, Ziyin, et autres
Publié: (2023)

Autoregressive Video Generation beyond Next Frames Prediction
par: Ren, Sucheng, et autres
Publié: (2025)

PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training
par: Chen, Suyi, et autres
Publié: (2024)

Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching
par: Pan, Yue, et autres
Publié: (2025)

PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
par: Chen, Zisheng, et autres
Publié: (2023)

Rethinking Point Clouds as Sequences: A Causal Next-Token Predictive Learning Framework
par: Yao, Yumeng, et autres
Publié: (2026)

TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
par: Zhao, Xiongwei, et autres
Publié: (2024)

Generating Adversarial Point Clouds Using Diffusion Model
par: Zhao, Ruiyang, et autres
Publié: (2025)

GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction
par: Ouyang, Jiarui, et autres
Publié: (2025)

VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction
par: Ji, Longbin, et autres
Publié: (2026)

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
par: Tian, Keyu, et autres
Publié: (2024)

PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
par: Ye, Jianan, et autres
Publié: (2024)

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
par: Xia, Jiatong, et autres
Publié: (2026)

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
par: Lu, Shunlin, et autres
Publié: (2024)

Point-SAM: Promptable 3D Segmentation Model for Point Clouds
par: Zhou, Yuchen, et autres
Publié: (2024)