ice-gaussian.github.io - ICE-G

Example domain paragraphs

Vishnu Jaganathan 1 Hannah Huang 1 Muhammad Zubair Irshad 1,2 Varun Jampani 3 Amit Raj 4 Zsolt Kira 1 Our method, ICE-G, allows for quick color or texture edits to a 3D scene given a single edit image. Here we show the original image (top left), texturing the table with stone (top right), giving the grass fall colors (bottom left), and applying both effects together (bottom right). [Paper]      [Video]      [BibTeX]

Recently many techniques have emerged to create high quality 3D assets and scenes. When it comes to editing of these objects, however, existing approaches are either slow, compromise on quality, or do not provide enough customization. We introduce a novel approach to quickly edit a 3D model from a single reference view. Our technique first segments the edit image, and then matches semantically corresponding regions across chosen segmented dataset views using DINO features. A color or texture change from a p

Image conditional editing is shown above, where an example image is segmented, and its parts are matched with the parts of each of the chosen and segmented dataset views. After our DINO based mask matching algorithm assigns these pairings, color and/or texture can be transferred among those matching parts. Alternatively, users can choose colors or textures to apply, as demonstrated in the user workflow below.

Links to ice-gaussian.github.io (1)