A single hypernetwork generates per-material latent features and MLP decoder parameters for neural texture compression, matching the quality of per-material optimization methods while enabling extensions like super-resolution.
MatUp: Repurposing Image Upsamplers for SVBRDFs
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Neural Texture Compression using Hypernetworks
A single hypernetwork generates per-material latent features and MLP decoder parameters for neural texture compression, matching the quality of per-material optimization methods while enabling extensions like super-resolution.