3D Transformer
PulseAugur coverage of 3D Transformer — every cluster mentioning 3D Transformer across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New AI models improve CBCT image reconstruction from sparse data · 2 sources tracked
Two new research papers introduce advanced methods for reconstructing cone-beam computed tomography (CBCT) images from sparse projection data. EUReCA, a geometry-aware feed-forward model, integrates learned projection f…
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UniPart introduces zero-shot language-grounded 3D part segmentation
Researchers have introduced UniPart, a novel feed-forward cross-modal 3D Transformer designed for zero-shot language-grounded 3D part segmentation. This model aims to overcome the limitations of existing 3D foundation m…
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RelFlexformers introduce efficient 3D-Transformer attention with novel positional encodings
Researchers have introduced RelFlexformers, a novel class of 3D-Transformer models that utilize efficient attention mechanisms with integrable relative positional encodings. These models achieve a time complexity of O(L…