9 papers
PixGR: Pixel-Space Generative Decoding for Fast Feed-Forward 3D Reconstruction
Ranran Huang, Wenjing Bian, Weixun Luo +2
We present PixGR, an efficient framework that integrates lightweight pixel-space generative modeling into feed-forward 3D Gaussian reconstruction to model scene uncertainty. Contex…
RGB-Pointmap Pretraining for Unified 3D Scene Understanding
Ye Mao, Weixun Luo, Ranran Huang +2
Pretraining 3D encoders through alignment with Contrastive Language-Image Pre-training (CLIP) has emerged as a promising direction for learning generalizable representations for 3D…
From None to All: Self-Supervised 3D Reconstruction via Novel View Synthesis
Ranran Huang, Weixun Luo, Ye Mao +1
In this paper, we introduce NAS3R, a self-supervised feed-forward framework that jointly learns explicit 3D geometry and camera parameters with no ground-truth annotations and no p…
POMA-3D: The Point Map Way to 3D Scene Understanding
Ye Mao, Weixun Luo, Ranran Huang +2
In this paper, we introduce POMA-3D, the first self-supervised 3D representation model learned from point maps. Point maps encode explicit 3D coordinates on a structured 2D grid, p…
Lite Any Stereo: Efficient Zero-Shot Stereo Matching
Junpeng Jing, Weixun Luo, Ye Mao +1
Recent advances in stereo matching have focused on accuracy, often at the cost of significantly increased model size. Traditionally, the community has regarded efficient models as…
Stereo Any Video: Temporally Consistent Stereo Matching
Junpeng Jing, Weixun Luo, Ye Mao +1
This paper introduces Stereo Any Video, a powerful framework for video stereo matching. It can estimate spatially accurate and temporally consistent disparities without relying on…
Hypo3D: Exploring Hypothetical Reasoning in 3D
Ye Mao, Weixun Luo, Junpeng Jing +2
The rise of vision-language foundation models marks an advancement in bridging the gap between human and machine capabilities in 3D scene reasoning. Existing 3D reasoning benchmark…
SVRDA: A Web-based Dataset Annotation Tool for Slice-to-Volume Registration
Weixun Luo, Alexandre Triay Bagur, Paul Aljabar +2
Background and Objective: The lack of benchmark datasets has impeded the development of slice-to-volume registration algorithms. Such datasets are difficult to annotate, primarily…
Is Autoencoder Truly Applicable for 3D CT Super-Resolution?
Weixun Luo, Xiaodan Xing, Guang Yang
Featured by a bottleneck structure, autoencoder (AE) and its variants have been largely applied in various medical image analysis tasks, such as segmentation, reconstruction and de…