Search Results for author: Tim Rolff

Found 2 papers, 1 papers with code

High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention

no code implementations9 Aug 2023 André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop

Our proposed topology also comes with a built-in top-down attention mechanism, which allows processing to be directly influenced by either enhancing or inhibiting category-specific high-level features, drawing parallels to the selective attention mechanism observed in human cognition.

Immersive Neural Graphics Primitives

1 code implementation24 Nov 2022 Ke Li, Tim Rolff, Susanne Schmidt, Reinhard Bacher, Simone Frintrop, Wim Leemans, Frank Steinicke

In this paper, we present and evaluate a NeRF-based framework that is capable of rendering scenes in immersive VR allowing users to freely move their heads to explore complex real-world scenes.

Benchmarking Super-Resolution

Cannot find the paper you are looking for? You can Submit a new open access paper.