3 papers
cs.CV2026
Implicit Neural Representations: A Signal Processing Perspective
Dhananjaya Jayasundara, Vishal M. Patel
Implicit neural representations (INRs) mark a fundamental shift in signal modeling, moving from discrete sampled data to continuous functional representations. By parameterizing si…
cs.LG2025
SINR: Sparsity Driven Compressed Implicit Neural Representations
Dhananjaya Jayasundara, Sudarshan Rajagopalan, Yasiru Ranasinghe +2
Implicit Neural Representations (INRs) are increasingly recognized as a versatile data modality for representing discretized signals, offering benefits such as infinite query resol…
cs.LG2024
I-Diff: Structural Regularization for High-Fidelity Diffusion Models
Shakthi Perera, Dilum Fernando, H. L. P. Malshan +5
Denoising Diffusion Probabilistic Models (DDPMs) have significantly advanced generative AI, achieving impressive results in high-quality image and data generation. However, enhanci…