Cvpr 2026 Locateanything3d

https://arxiv.org/abs/2511.20648.

Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim (

GOR-IS presents a 3D Gaussian object removal framework that edits scenes in the intrinsic space, enabling physically consistent ...

[CVPR 2026] Think-Then-Generate: Structural Chain-of-Thought Reasoning for Consistent3D Generation

CVPR 2026 Highlight | RARE: Learn to RAnk and REtrieve for Monocular 3D Object Detection

CVPR 2026: Learning 3D Shape Fidelity Metric from Real-world Distortions

[CVPR 2026 Highlight] Unleashing the Power of Chain-of-Prediction for Monocular 3D Object Detection

Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...

[CVPR 2026] BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

[CVPR 2026] Towards Intrinsic-Aware Monocular 3D Object Detection

We introduce our

CVPR 2026

[CVPR 2026] Demo video for paper "ShadowDraw: From Any Object to Shadow-Drawing Compositional Art"

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.

[CVPR 2026] Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers

[CVPR 2026] Geometry-Guided 3D Visual Token Pruning for Video-Language Models

Video presentation of our

This is a short presentation for the "Volumetric Functional Maps" paper that appeared at

Homepage: https://gzxiong.github.io/CIRCLES Paper: https://arxiv.org/abs/2603.16737 Code: ...

Prune Wisely, Reconstruct Sharply: Compact 3D Gaussian Splatting via Adaptive Pruning and Difference-of-Gaussian Primitives ...