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Found 4 papers, 2 papers with code
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.
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Normalizing flows are a class of probabilistic generative models which allow for both fast density computation and efficient sampling and are effective at modelling complex distributions like images.
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Recently, convolutional networks (convnets) have proven useful for predicting optical flow.
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