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Found 2 papers, 1 papers with code
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
We propose a voxel-based optimization framework, ReVoRF, for few-shot radiance fields that strategically address the unreliability in pseudo novel view synthesis.
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
The rationale behind is that we aim to locate a centroid latent position in a conditional StyleGAN, where the corresponding output image on that centroid can maximize the similarity with the given samples.
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