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Found 2 papers, 1 papers with code
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
Deep learning is providing a wealth of new approaches to the old problem of novel view synthesis, from Neural Radiance Field (NeRF) based approaches to end-to-end style architectures.
Contrastive Unpaired Translation using Focal Loss for Patch Classification
It also turns out that sampling negatives (patches required to calculate the loss) from the same image achieves better results than a scenario where the negatives are sampled from other images in the dataset.
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