Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …

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 …

Portrait harmonization aims to composite a subject into a new background adjusting its
lighting and color to ensure harmony with the background scene. Existing harmonization …

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

Diffusion models have achieved remarkable success in the domain of text-guided image
generation and, more recently, in text-guided image editing. A commonly adopted strategy …

Bayesian flow networks (BFNs) iteratively refine the parameters, instead of the samples in
diffusion models (DMs), of distributions at various noise levels through Bayesian inference …

Image editing involves a variety of complex tasks and requires efficient and precise
manipulation techniques. In this paper, we present MagicQuill, an integrated image editing …

Drag-based image editing has recently gained popularity for its interactivity and precision.
However, despite the ability of text-to-image models to generate samples within a second …

As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …

Drag-based editing has become popular in 2D content creation, driven by the capabilities of
image generative models. However, extending this technique to 3D remains a challenge …