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cs.CV2026
The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
Kushal Vyas, Alper Kayabasi, Daniel Kim +3
The approximation and convergence properties of implicit neural representations (INRs) are known to be highly sensitive to parameter initialization strategies. While several data-d…
cs.CV2025
Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation
Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan
Implicit neural representations (INRs) have achieved remarkable successes in learning expressive yet compact signal representations. However, they are not naturally amenable to pre…
cs.CV2024
Learning Transferable Features for Implicit Neural Representations
Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute +3
Implicit neural representations (INRs) have demonstrated success in a variety of applications, including inverse problems and neural rendering. An INR is typically trained to captu…