1 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification
Nikolina Kubiak, Elliot Wortman, Armin Mustafa +3
Existing shadow detection models struggle to differentiate dark image areas from shadows. In this paper, we tackle this issue by verifying that all detected shadows are real, i.e.…
S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal
Nikolina Kubiak, Armin Mustafa, Graeme Phillipson +2
In this paper we present S3R-Net, the Self-Supervised Shadow Removal Network. The two-branch WGAN model achieves self-supervision relying on the unify-and-adaptphenomenon - it unif…
ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
In the field of media production, video editing techniques play a pivotal role. Recent approaches have had great success at performing novel view image synthesis of static scenes.…
SVS: Adversarial refinement for sparse novel view synthesis
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
This paper proposes Sparse View Synthesis. This is a view synthesis problem where the number of reference views is limited, and the baseline between target and reference view is si…
SaiNet: Stereo aware inpainting behind objects with generative networks
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
In this work, we present an end-to-end network for stereo-consistent image inpainting with the objective of inpainting large missing regions behind objects. The proposed model cons…