# Filter-Based Reconstruction for
Gradient-Domain Rendering

Difei Yan, Shaokun Zheng, Ling-Qi Yan, and Kun Xu

## Comparisons

This interactive viewer compares our reconstructed results with the following methods: L1 reconstruction (L1), L2 reconstruction (L2), GradNet (GradNet), and Deep Convolutional Reconstruction for Gradient-Domain Rendering (NGPT). All input images are sampled with the same sample rates. The reference image is rendered under 524288 samples per pixel (spp).

## (1) 64 spp

Ours
CV

## (2) 256 spp

Ours
CV