:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Shen, Chentao, Zheng, Sizhe, Wu, Bingqian, Feng, Yaohua, Fei, Yuanchen, Mei, Mingyu, Jiang, Hanwen, Huang, Xiangru
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2512.04528
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Interact3D: Compositional 3D Generation of Interactive Objects
di: Shan, Hui, et al.
Pubblicazione: (2026)

ReWeaver: Towards Simulation-Ready and Topology-Accurate Garment Reconstruction
di: Li, Ming, et al.
Pubblicazione: (2026)

Active Control Points-based 6DoF Pose Tracking for Industrial Metal Objects
di: Shen, Chentao, et al.
Pubblicazione: (2025)

Exploring the Role of Synthetic Data Augmentation in Controllable Human-Centric Video Generation
di: Fei, Yuanchen, et al.
Pubblicazione: (2026)

SemanticFace: Semantic Facial Action Estimation via Semantic Distillation in Interpretable Space
di: Kang, Zejian, et al.
Pubblicazione: (2026)

AutoComb: Automated Comb Sign Detector for 3D CTE Scans
di: Gupta, Shashwat, et al.
Pubblicazione: (2025)

KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes
di: Wu, Jingchao, et al.
Pubblicazione: (2025)

Real3D: Scaling Up Large Reconstruction Models with Real-World Images
di: Jiang, Hanwen, et al.
Pubblicazione: (2024)

AudioFace: Language-Assisted Speech-Driven Facial Animation with Multimodal Language Models
di: Zheng, Kai, et al.
Pubblicazione: (2026)

Robo3R: Enhancing Robotic Manipulation with Accurate Feed-Forward 3D Reconstruction
di: Yang, Sizhe, et al.
Pubblicazione: (2026)

Active3D: Active High-Fidelity 3D Reconstruction via Hierarchical Uncertainty Quantification
di: Li, Yan, et al.
Pubblicazione: (2025)

Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification
di: Jiang, Zhanhong, et al.
Pubblicazione: (2025)

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
di: Charatan, David, et al.
Pubblicazione: (2023)

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
di: Cheng, Nuojin, et al.
Pubblicazione: (2023)

Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification
di: Han, Jiale, et al.
Pubblicazione: (2025)

AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models
di: Luo, Daqin, et al.
Pubblicazione: (2024)

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model
di: Liu, Yaohua
Pubblicazione: (2024)

SuperFace: Preference-Aligned Facial Expression Estimation Beyond Pseudo Supervision
di: Kang, Zejian, et al.
Pubblicazione: (2026)

FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification
di: Shen, Yiqing, et al.
Pubblicazione: (2024)

Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R
di: Zhu, Zihao, et al.
Pubblicazione: (2026)

Measuring Information Distortion in Hierarchical Ultra long Novel Reconstruction:The Optimal Expansion Ratio
di: Shen, Hanwen, et al.
Pubblicazione: (2025)

NI-Tex: Non-isometric Image-based Garment Texture Generation
di: Shan, Hui, et al.
Pubblicazione: (2025)

Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving
di: Fei, Xin, et al.
Pubblicazione: (2024)

3D Skew-Normal Splatting
di: Wu, Xiangru, et al.
Pubblicazione: (2026)

Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities
di: He, Wenchong, et al.
Pubblicazione: (2023)

Chiral-even twist-3 GPDs for the proton in a spectator diquark model
di: Tan, Chentao, et al.
Pubblicazione: (2024)

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
di: Perauer, Cedric, et al.
Pubblicazione: (2024)

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
di: Jiang, Hanwen, et al.
Pubblicazione: (2024)

Test3R: Learning to Reconstruct 3D at Test Time
di: Yuan, Yuheng, et al.
Pubblicazione: (2025)

Evolutionary Search for Automated Design of Uncertainty Quantification Methods
di: Seleznyov, Mikhail, et al.
Pubblicazione: (2026)

Robust Stability of Neural Network Control Systems with Interval Matrix Uncertainties
di: Zhang, Yuhao, et al.
Pubblicazione: (2023)

High-fidelity 3D Reconstruction of Plants using Neural Radiance Field
di: Hu, Kewei, et al.
Pubblicazione: (2023)

Adjoint-based Particle Forcing Reconstruction and Uncertainty Quantification
di: Domínguez-Vázquez, Daniel, et al.
Pubblicazione: (2022)

Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures
di: Xue, Zhipeng, et al.
Pubblicazione: (2025)

OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
di: Heidrich, Severin, et al.
Pubblicazione: (2025)

ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models
di: de Lutio, Riccardo, et al.
Pubblicazione: (2026)

LookUp3D: Data-Driven 3D Scanning
di: Pereira, Giancarlo, et al.
Pubblicazione: (2024)

Fast Evaluation of the Azimuthal Fourier Modes of the 3D Helmholtz Green's Function and Their Derivatives
di: Zhang, Hanwen
Pubblicazione: (2026)

UniSem: Generalizable Semantic 3D Reconstruction from Sparse Unposed Images
di: Liao, Guibiao, et al.
Pubblicazione: (2026)

Sources of Uncertainty in 3D Scene Reconstruction
di: Klasson, Marcus, et al.
Pubblicazione: (2024)