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Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
Recently, a semantic latent space for DDMs, coined `$h$-space', was shown to facilitate semantic image editing in a way reminiscent of GANs.
Single Image Object Counting and Localizing using Active-Learning
The need to count and localize repeating objects in an image arises in different scenarios, such as biological microscopy studies, production lines inspection, and surveillance recordings analysis.
Unpaired Learning for High Dynamic Range Image Tone Mapping
In this paper we describe a new tone-mapping approach guided by the distinct goal of producing low dynamic range (LDR) renditions that best reproduce the visual characteristics of native LDR images.
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