16 citations · 47 across the 25 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
Luca De Luigi, Damiano Bolognini, Federico Domeniconi +3
In this paper, we propose the first-ever real benchmark thought for evaluating Neural Radiance Fields (NeRFs) and, in general, Neural Rendering (NR) frameworks. We design and imple…
cs.CV2022
Learning the Space of Deep Models
Gianluca Berardi, Luca De Luigi, Samuele Salti +1
Embedding of large but redundant data, such as images or text, in a hierarchy of lower-dimensional spaces is one of the key features of representation learning approaches, which no…