Beyond polymers: New state-of-the-art 3D micro and nanofabrication technique overcomes material limitations

Building things so small that they are smaller than the width of a human hair was previously achieved by using a method ...
IEEE

Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning

Abstract: In the field of medical images, although various works find Swin Transformer has promising effectiveness on pixelwise dense prediction, whether pre-training these models without using extra ...
GitHub

Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space

Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...
GitHub

Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images

If you find our work useful, please consider citing our paper: @inproceedings{wulff2025dreamtorecon, title = {Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single ...