3 papers
cs.CV2024
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.…
cs.CV2024
Single-image coherent reconstruction of objects and humans
Sarthak Batra, Partha P. Chakrabarti, Simon Hadfield +1
Existing methods for reconstructing objects and humans from a monocular image suffer from severe mesh collisions and performance limitations for interacting occluding objects. This…
cs.CV2024
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…