Cover Image

Every9D-21M: Large-Scale Real-World 9D Canonicalization of Everyday Objects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sommer, Leonhard, Akopyan, Emil, Kortylewski, Adam
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
by: Sommer, Leonhard, et al.
Published: (2025)

Category-Level 3D Correspondence in Camera Space via Morphable Object Priors
by: Sommer, Leonhard, et al.
Published: (2026)

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
by: Sommer, Leonhard, et al.
Published: (2024)

Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
by: Pham, Nhi, et al.
Published: (2025)

Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence
by: Jesslen, Artur, et al.
Published: (2026)

CanoVerse: 3D Object Scalable Canonicalization and Dataset for Generation and Pose
by: Jin, Li, et al.
Published: (2026)

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
by: Ma, Wufei, et al.
Published: (2024)

DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data
by: Liu, Qihao, et al.
Published: (2024)

RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
by: Xia, Hongchi, et al.
Published: (2024)

FaceGPT: Self-supervised Learning to Chat about 3D Human Faces
by: Wang, Haoran, et al.
Published: (2024)

NOVUM: Neural Object Volumes for Robust Object Classification
by: Jesslen, Artur, et al.
Published: (2023)

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

Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training
by: Ma, Fulong, et al.
Published: (2023)

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields
by: Chi, Yu, et al.
Published: (2023)

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models
by: Begiristain, León, et al.
Published: (2026)

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
by: Dünkel, Olaf, et al.
Published: (2026)

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
by: Kaushik, Prakhar, et al.
Published: (2024)

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views
by: Shi, Jiaxin, et al.
Published: (2026)

OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation
by: Cai, Junhao, et al.
Published: (2024)

MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model
by: Liu, Jian, et al.
Published: (2025)

Learning a Category-level Object Pose Estimator without Pose Annotations
by: Tian, Fengrui, et al.
Published: (2024)

Capture, Canonicalize, Splat: Zero-Shot 3D Gaussian Avatars from Unstructured Phone Images
by: Garbin, Emanuel, et al.
Published: (2025)

Detecting Every Object from Events
by: Zhang, Haitian, et al.
Published: (2024)

Segment Every Out-of-Distribution Object
by: Zhao, Wenjie, et al.
Published: (2023)

Ego3DT: Tracking Every 3D Object in Ego-centric Videos
by: Hao, Shengyu, et al.
Published: (2024)

A Bayesian Approach to OOD Robustness in Image Classification
by: Kaushik, Prakhar, et al.
Published: (2024)

GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals
by: Mendiratta, Mohit, et al.
Published: (2025)

Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
by: Rahman, Md Ashiqur, et al.
Published: (2025)

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
by: Wang, Xingrui, et al.
Published: (2024)

CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
by: Peng, Hao-Yang, et al.
Published: (2024)

ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
by: Kim, Jeonghwan, et al.
Published: (2024)

Radar-Informed 3D Multi-Object Tracking under Adverse Conditions
by: Xu, Bingxue, et al.
Published: (2026)

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
by: Nunes, Lucas, et al.
Published: (2024)

Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond
by: Ou, Jing, et al.
Published: (2026)

General Neural Gauge Fields
by: Zhan, Fangneng, et al.
Published: (2023)

Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
by: Kuang, Zhengfei, et al.
Published: (2023)

Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
by: Liu, Jian, et al.
Published: (2025)

Towards 3D Objectness Learning in an Open World
by: Liu, Taichi, et al.
Published: (2025)

Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
by: Dünkel, Olaf, et al.
Published: (2025)

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
by: Duan, Ruxiao, et al.
Published: (2023)