Mambair: A simple baseline for image restoration with state-space model

H Guo, J Li, T Dai, Z Ouyang, X Ren, ST Xia - European conference on …, 2025 - Springer
Recent years have seen significant advancements in image restoration, largely attributed to
the development of modern deep neural networks, such as CNNs and Transformers …

Pointmamba: A simple state space model for point cloud analysis

D Liang, X Zhou, W Xu, X Zhu, Z Zou, X Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
Transformers have become one of the foundational architectures in point cloud analysis
tasks due to their excellent global modeling ability. However, the attention mechanism has …

Large point-to-gaussian model for image-to-3d generation

L Lu, H Gao, T Dai, Y Zha, Z Hou, J Wu… - Proceedings of the 32nd …, 2024 - dl.acm.org
Recently, image-to-3D approaches have significantly advanced the generation quality and
speed of 3D assets based on large reconstruction models, particularly 3D Gaussian …

Pre-training Point Cloud Compact Model with Partial-aware Reconstruction

Y Zha, Y Wang, T Dai, ST Xia - arXiv preprint arXiv:2407.09344, 2024 - arxiv.org
The pre-trained point cloud model based on Masked Point Modeling (MPM) has exhibited
substantial improvements across various tasks. However, two drawbacks hinder their …