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Related papers: 2D Instance Editing in 3D Space

200 papers

3D texture swapping allows for the customization of 3D object textures, enabling efficient and versatile visual transformations in 3D editing. While no dedicated method exists, adapted 2D editing and text-driven 3D editing approaches can…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Xiao Cao , Beibei Lin , Bo Wang , Zhiyong Huang , Robby T. Tan

This paper explores image editing under the joint control of text and drag interactions. While recent advances in text-driven and drag-driven editing have achieved remarkable progress, they suffer from complementary limitations: text-driven…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Qihang Wang , Yaxiong Wang , Lechao Cheng , Zhun Zhong

Drag-based image editing has emerged as a powerful paradigm for intuitive image manipulation. However, existing approaches predominantly rely on manipulating the latent space of generative models, leading to limited precision, delayed…

Computer Vision and Pattern Recognition · Computer Science 2025-09-08 Jingyi Lu , Kai Han

The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing have achieved interesting results through manipulating 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-08-15 Guan Luo , Tian-Xing Xu , Ying-Tian Liu , Xiao-Xiong Fan , Fang-Lue Zhang , Song-Hai Zhang

As 3D generation techniques continue to flourish, the demand for generating personalized content is rapidly rising. Users increasingly seek to apply various editing methods to polish generated 3D content, aiming to enhance its color, style,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Weitao Wang , Haoran Xu , Jun Meng , Haoqian Wang

Point-based image editing has attracted remarkable attention since the emergence of DragGAN. Recently, DragDiffusion further pushes forward the generative quality via adapting this dragging technique to diffusion models. Despite these great…

Computer Vision and Pattern Recognition · Computer Science 2024-03-08 Yutao Cui , Xiaotong Zhao , Guozhen Zhang , Shengming Cao , Kai Ma , Limin Wang

Aiming at inferring 3D shapes from 2D images, 3D shape reconstruction has drawn huge attention from researchers in computer vision and deep learning communities. However, it is not practical to assume that 2D input images and their…

Computer Vision and Pattern Recognition · Computer Science 2018-11-30 Yi-Lun Liao , Yao-Cheng Yang , Yu-Chiang Frank Wang

Recent advances in 3D scene generation produce visually appealing output, but current representations hinder artists' workflows that require modifiable 3D textured mesh scenes for visual effects and game development. Despite significant…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Tobias Sautter , Jan-Niklas Dihlmann , Hendrik P. A. Lensch

Text-guided diffusion models have shown superior performance in image/video generation and editing. While few explorations have been performed in 3D scenarios. In this paper, we discuss three fundamental and interesting problems on this…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Gang Li , Heliang Zheng , Chaoyue Wang , Chang Li , Changwen Zheng , Dacheng Tao

The transformative potential of 3D content creation has been progressively unlocked through advancements in generative models. Recently, intuitive drag editing with geometric changes has attracted significant attention in 2D editing yet…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Jiahua Dong , Yu-Xiong Wang

Camera and object motions are central to a video's narrative. However, precisely editing these captured motions remains a significant challenge, especially under complex object movements. Current motion-controlled image-to-video (I2V)…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Yao-Chih Lee , Zhoutong Zhang , Jiahui Huang , Jui-Hsien Wang , Joon-Young Lee , Jia-Bin Huang , Eli Shechtman , Zhengqi Li

We address the task of multi-view image editing from sparse input views, where the inputs can be seen as a mix of images capturing the scene from different viewpoints. The goal is to modify the scene according to a textual instruction while…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Daniel Gilo , Or Litany

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. Existing 3D drag-based editing methods, whether employing…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Honghua Chen , Yushi Lan , Yongwei Chen , Yifan Zhou , Xingang Pan

Drag-based editing allows precise object manipulation through point-based control, offering user convenience. However, current methods often suffer from a geometric inconsistency problem by focusing exclusively on matching user-defined…

Graphics · Computer Science 2025-07-14 Gwanhyeong Koo , Sunjae Yoon , Younghwan Lee , Ji Woo Hong , Chang D. Yoo

Recent advances in text-to-image (T2I) diffusion models have significantly improved semantic image editing, yet most methods fall short in performing 3D-aware object manipulation. In this work, we present FFSE, a 3D-aware autoregressive…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Xincheng Shuai , Zhenyuan Qin , Henghui Ding , Dacheng Tao

Generative methods for image and video editing use generative models as priors to perform edits despite incomplete information, such as changing the composition of 3D objects shown in a single image. Recent methods have shown promising…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Juil Koo , Paul Guerrero , Chun-Hao Paul Huang , Duygu Ceylan , Minhyuk Sung

Vision-centric autonomous driving systems require diverse data for robust training and evaluation, which can be augmented by manipulating object positions and appearances within existing scene captures. While recent advancements in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Yiyuan Liang , Zhiying Yan , Liqun Chen , Jiahuan Zhou , Luxin Yan , Sheng Zhong , Xu Zou

Millions of images of human faces are captured every single day; but these photographs portray the likeness of an individual with a fixed pose, expression, and appearance. Portrait image animation enables the post-capture adjustment of…

Computer Vision and Pattern Recognition · Computer Science 2022-03-28 Connor Z. Lin , David B. Lindell , Eric R. Chan , Gordon Wetzstein

Many real-world applications, such as interactive photo retouching, artistic content creation, and product design, require flexible and iterative image editing. However, existing image editing methods primarily focus on achieving the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Zijun Zhou , Yingying Deng , Xiangyu He , Weiming Dong , Fan Tang

Accurate and controllable image editing is a challenging task that has attracted significant attention recently. Notably, DragGAN is an interactive point-based image editing framework that achieves impressive editing results with…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Yujun Shi , Chuhui Xue , Jun Hao Liew , Jiachun Pan , Hanshu Yan , Wenqing Zhang , Vincent Y. F. Tan , Song Bai