We propose GaussCtrl, a text-driven method to edit a 3D scene reconstructed by the 3D
Gaussian Splatting (3DGS). Our method first renders a collection of images by using the …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Image editing aims to edit the given synthetic or real image to meet the specific requirements
from users. It is widely studied in recent years as a promising and challenging field of …

The success of image generative models has enabled us to build methods that can edit
images based on text or other user input. However, these methods are bespoke, imprecise …

Grasping is an important human activity that has long been studied in robotics, computer
vision, and cognitive science. Most existing works study grasping from the perspective of …

Point-drag-based image editing methods, like DragDiffusion, have attracted significant
attention. However, point-drag-based approaches suffer from computational overhead and …

Flexible and accurate drag-based editing is a challenging task that has recently garnered
significant attention. Current methods typically model this problem as automatically …

Point-based image editing enables accurate and flexible control through content dragging.
However, the role of text embedding in the editing process has not been thoroughly …

Drag-based image editing using generative models provides precise control over image
contents, enabling users to manipulate anything in an image with a few clicks. However …