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Found 7 papers, 4 papers with code
A Dataset of Multi-Illumination Images in the Wild
Collections of images under a single, uncontrolled illumination have enabled the rapid advancement of core computer vision tasks like classification, detection, and segmentation.
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
We introduce a new generator architecture, aimed at fast and efficient high-resolution image-to-image translation.
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
The current alternative is to use specialized models that require explicit supervision on the vector graphics representation at training time.
MarioNette: Self-Supervised Sprite Learning
Artists and video game designers often construct 2D animations using libraries of sprites -- textured patches of objects and characters.
Any-resolution Training for High-resolution Image Synthesis
To take advantage of varied-size data, we introduce continuous-scale training, a process that samples patches at random scales to train a new generator with variable output resolutions.
VecFusion: Vector Font Generation with Diffusion
We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions.
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
We show that by using simple segmentations and coarse 2D manipulations, we can synthesize a photorealistic edit faithful to the user's input while addressing second-order effects like harmonizing the lighting and physical interactions between edited objects.
