3 citations · 3 across the 3 of their papers we have counts for
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cs.CV2023
Self-supervised Hypergraphs for Learning Multiple World Interpretations
Alina Marcu, Mihai Pirvu, Dragos Costea +5
We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task…
cs.CV2023
Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving
Alexandra Budisteanu, Dragos Costea, Alina Marcu +1
The task of generating novel views of real scenes is increasingly important nowadays when AI models become able to create realistic new worlds. In many practical applications, it i…