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Found 3 papers, 1 papers with code
Can Generative Models Improve Self-Supervised Representation Learning?
By directly conditioning generative models on a source image representation, our method enables the generation of diverse augmentations while maintaining the semantics of the source image, thus offering a richer set of data for self-supervised learning.
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis
This paper considers the problem of generative novel view synthesis (GNVS), generating novel, plausible views of a scene given a limited number of known views.
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models
In this paper, we propose a novel generative model capable of producing a sequence of photorealistic images consistent with a specified camera trajectory, and a single starting image.
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