1 citations · 1 across the 5 of their papers we have counts for
6 papers
PractiLight: Practical Light Control Using Foundational Diffusion Models
Yotam Erel, Rishabh Dabral, Vladislav Golyanik +2
Light control in generated images is a difficult task, posing specific challenges, spanning over the entire image and frequency spectrum. Most approaches tackle this problem by tra…
Attention (as Discrete-Time Markov) Chains
Yotam Erel, Olaf Dünkel, Rishabh Dabral +3
We introduce a new interpretation of the attention matrix as a discrete-time Markov chain. Our interpretation sheds light on common operations involving attention scores such as se…
Casper DPM: Cascaded Perceptual Dynamic Projection Mapping onto Hands
Yotam Erel, Or Kozlovsky-Mordenfeld, Daisuke Iwai +2
We present a technique for dynamically projecting 3D content onto human hands with short perceived motion-to-photon latency. Computing the pose and shape of human hands accurately…
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections
Amir Barda, Yotam Erel, Yoni Kasten +1
The majority of existing large 3D shape datasets contain meshes that lend themselves extremely well to visual applications such as rendering, yet tend to be topologically invalid (…
Neural Projection Mapping Using Reflectance Fields
Yotam Erel, Daisuke Iwai, Amit H. Bermano
We introduce a high resolution spatially adaptive light source, or a projector, into a neural reflectance field that allows to both calibrate the projector and photo realistic ligh…
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation
Amir Barda, Yotam Erel, Amit H. Bermano
Mesh-based learning is one of the popular approaches nowadays to learn shapes. The most established backbone in this field is MeshCNN. In this paper, we propose infusing MeshCNN wi…