12 citations · 31 across the 3 of their papers we have counts for
3 papers
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Junjiao Tian, Lavisha Aggarwal, Andrea Colaco +2
Producing quality segmentation masks for images is a fundamental problem in computer vision. Recent research has explored large-scale supervised training to enable zero-shot segmen…
Immersive Augmented Reality Training for Complex Manufacturing Scenarios
Mar Gonzalez-Franco, Julio Cermeron, Katie Li +5
In the complex manufacturing sector a considerable amount of resources are focused on developing new skills and training workers. In that context, increasing the effectiveness of t…
Assessing 3D scan quality in Virtual Reality through paired-comparisons psychophysics test
Jacob Thorn, Rodrigo Pizarro, Bernhard Spanlang +2
Consumer 3D scanners and depth cameras are increasingly being used to generate content and avatars for Virtual Reality (VR) environments and avoid the inconveniences of hand modeli…