6 papers
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
Yuki Kawana, Tatsuya Harada
We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made articulated objects from a single RGBD image, focusing on part-level shape reconstruc…
RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark
Ziteng Cui, Jianfei Yang, Tatsuya Harada
In the computer vision community, the preference for pre-training visual models has largely shifted toward sRGB images due to their ease of acquisition and compact storage. However…
Interactive Tumor Progression Modeling via Sketch-Based Image Editing
Gexin Huang, Ruinan Jin, Yucheng Tang +4
Accurately visualizing and editing tumor progression in medical imaging is crucial for diagnosis, treatment planning, and clinical communication. To address the challenges of subje…
MaGRITTe: Manipulative and Generative 3D Realization from Image, Topview and Text
Takayuki Hara, Tatsuya Harada
The generation of 3D scenes from user-specified conditions offers a promising avenue for alleviating the production burden in 3D applications. Previous studies required significant…
RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images
Ziteng Cui, Tatsuya Harada
sRGB images are now the predominant choice for pre-training visual models in computer vision research, owing to their ease of acquisition and efficient storage. Meanwhile, the adva…
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
Djamahl Etchegaray, Zi Huang, Tatsuya Harada +1
In this work, we tackle the limitations of current LiDAR-based 3D object detection systems, which are hindered by a restricted class vocabulary and the high costs associated with a…