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Found 4 papers, 1 papers with code
Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
Neural Radiance Field (NeRF) has achieved superior performance for novel view synthesis by modeling the scene with a Multi-Layer Perception (MLP) and a volume rendering procedure, however, when fewer known views are given (i. e., few-shot view synthesis), the model is prone to overfit the given views.
SeD: Semantic-Aware Discriminator for Image Super-Resolution
In particular, one discriminator is utilized to enable the SR network to learn the distribution of real-world high-quality images in an adversarial training manner.
CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency
Furthermore, to regularize the unseen target views, we constrain the rendered colors and depths from different input views to be the same.
MiNL: Micro-images based Neural Representation for Light Fields
Unlike explicit representation that represents light fields as Sub-Aperture Images (SAIs) based arrays or Micro-Images (MIs) based lenslet images, implicit representation treats light fields as neural networks, which is inherently a continuous representation in contrast to discrete explicit representation.
