15 citations · 34 across the 14 of their papers we have counts for
4 papers · 1 filter
Curvature-Aware Training for Coordinate Networks
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe +2
Coordinate networks are widely used in computer vision due to their ability to represent signals as compressed, continuous entities. However, training these networks with first-ord…
Flow supervision for Deformable NeRF
Chaoyang Wang, Lachlan Ewen MacDonald, Laszlo A. Jeni +1
In this paper we present a new method for deformable NeRF that can directly use optical flow as supervision. We overcome the major challenge with respect to the computationally ine…
On Quantizing Implicit Neural Representations
Cameron Gordon, Shin-Fang Chng, Lachlan MacDonald +1
The role of quantization within implicit/coordinate neural networks is still not fully understood. We note that using a canonical fixed quantization scheme during training produces…
Enabling equivariance for arbitrary Lie groups
Lachlan Ewen MacDonald, Sameera Ramasinghe, Simon Lucey
Although provably robust to translational perturbations, convolutional neural networks (CNNs) are known to suffer from extreme performance degradation when presented at test time w…