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Found 4 papers, 2 papers with code
Mean-Shift Distillation for Diffusion Mode Seeking
We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution.
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation
The success of denoising diffusion models in representing rich data distributions over 2D raster images has prompted research on extending them to other data representations, such as vector graphics.
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.
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
This paper addresses the problem of interpolating visual textures.
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