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Found 4 papers, 2 papers with code
StyleCity: Large-Scale 3D Urban Scenes Stylization with Vision-and-Text Reference via Progressive Optimization
We then optimize the scene style globally by adapting the scale of the style image with the scale of the training views.
Advances in 3D Neural Stylization: A Survey
Building on such taxonomy, our survey first revisits the background of neural stylization on 2D images, and then provides in-depth discussions on recent neural stylization methods for 3D data, where we also provide a mini-benchmark on artistic stylization methods.
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Specifically, to insert a new foreground object represented by a set of multi-view images into a background radiance field, we use a text-to-image diffusion model to learn and generate combined images that fuse the object of interest into the given background across views.
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
We use this object layout to condition a generative adversarial network to synthesize images of an input scene.
