Cover Image

3D Shape Completion with Test-Time Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schopf-Kuester, Michael, Lähner, Zorah, Moeller, Michael
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Denoising Functional Maps: Diffusion Models for Shape Correspondence
by: Zhuravlev, Aleksei, et al.
Published: (2025)

SIGMA: Scale-Invariant Global Sparse Shape Matching
by: Gao, Maolin, et al.
Published: (2023)

Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
by: Bastian, Lennart, et al.
Published: (2023)

MoAngelo: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes
by: Ebbed, Mohamed, et al.
Published: (2025)

Laplace-Beltrami Operator for Gaussian Splatting
by: Zhou, Hongyu, et al.
Published: (2025)

Isometric Multi-Shape Matching
by: Gao, Maolin, et al.
Published: (2020)

Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Surface Matching Algorithms
by: Ehm, Viktoria, et al.
Published: (2024)

Test-Time Adaptation for Depth Completion
by: Park, Hyoungseob, et al.
Published: (2024)

Layered Quantum Architecture Search for 3D Point Cloud Classification
by: Meli, Natacha Kuete, et al.
Published: (2026)

US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery
by: Gafencu, Miruna-Alexandra, et al.
Published: (2025)

Test-Time Training on Video Streams
by: Wang, Renhao, et al.
Published: (2023)

Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching
by: Cao, Dongliang, et al.
Published: (2024)

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
by: Deng, Qi, et al.
Published: (2024)

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training
by: Jin, Haian, et al.
Published: (2026)

Test-Time Training Done Right
by: Zhang, Tianyuan, et al.
Published: (2025)

Adaptive Retention & Correction: Test-Time Training for Continual Learning
by: Chen, Haoran, et al.
Published: (2024)

Ghost on the Shell: An Expressive Representation of General 3D Shapes
by: Liu, Zhen, et al.
Published: (2023)

NC-TTT: A Noise Contrastive Approach for Test-Time Training
by: Osowiechi, David, et al.
Published: (2024)

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
by: Colussi, Marco, et al.
Published: (2024)

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
by: Liu, Fangfu, et al.
Published: (2026)

Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams
by: Swinnen, Jonathan, et al.
Published: (2026)

Fast Spatial Memory with Elastic Test-Time Training
by: Ma, Ziqiao, et al.
Published: (2026)

ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
by: Siddiqui, Yawar, et al.
Published: (2026)

Bayesian Diffusion Models for 3D Shape Reconstruction
by: Xu, Haiyang, et al.
Published: (2024)

Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models
by: Zhang, Yi, et al.
Published: (2026)

Memorization in 3D Shape Generation: An Empirical Study
by: Pu, Shu, et al.
Published: (2025)

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
by: Xu, Jiacong, et al.
Published: (2023)

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
by: Liang, Ziyun, et al.
Published: (2025)

PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
by: Stekovic, Sinisa, et al.
Published: (2024)

Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
by: Su, Yongyi, et al.
Published: (2023)

TORA: Topological Representation Alignment for 3D Shape Assembly
by: Lee, Nahyuk, et al.
Published: (2026)

MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation
by: Godavarthy, Sonali, et al.
Published: (2026)

Test-Time Training for Visual Foresight Vision-Language-Action Models
by: Park, Sangwu, et al.
Published: (2026)

Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation
by: Monvoisin, Mathilde, et al.
Published: (2025)

2D Pre-Training for 3D Pose Estimation
by: Jiang, Liyao, et al.
Published: (2026)

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
by: Guo, Jingjie, et al.
Published: (2023)

UnCLe: Benchmarking Unsupervised Continual Learning for Depth Completion
by: Chen, Xien, et al.
Published: (2024)

On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
by: Su, Yongyi, et al.
Published: (2024)

SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
by: Li, Zhaoyang, et al.
Published: (2026)

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
by: Cui, Ruikai, et al.
Published: (2024)