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Found 4 papers, 1 papers with code
SealD-NeRF: Interactive Pixel-Level Editing for Dynamic Scenes by Neural Radiance Fields
The widespread adoption of implicit neural representations, especially Neural Radiance Fields (NeRF), highlights a growing need for editing capabilities in implicit 3D models, essential for tasks like scene post-processing and 3D content creation.
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models
The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which has heightened the need for timely and professional mental health support.
Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews
This framework is designed for general fossil identification and it is expected to see applications to other fossil datasets in future work.
Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching
The performance of PatchMatch-based multi-view stereo algorithms depends heavily on the source views selected for computing matching costs.
