TexSliders: Diffusion-Based Texture Editing in CLIP Space

arXiv:2405.00672v1 Announce Type: cross
Abstract: Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural image editing. In this work, we propose to apply diffusion techniques to edit textures, a specific class of images that are an essential part of 3D content creation pipelines. We analyze existing editing methods and show that they are not directly applicable to textures, since their common underlying approach, manipulating attention maps, …

abstract apply arxiv class clip cs.cv cs.gr diffusion diffusion models edit editing generative generative models image images language manipulation natural natural language part results space texture type work