Polynomial Implicit Neural Representations For Large Diverse Datasets

Figure 1. Samples generated by our Poly-INR model on the ImageNet dataset at various resolutions. Our model generates images with high fidelity without using convolution, upsample, or self-attention layers, i.e., no interaction between the pixels.