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相关论文: 2D Instance Editing in 3D Space

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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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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,…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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)…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

图形学 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 2024-04-09 Yujun Shi , Chuhui Xue , Jun Hao Liew , Jiachun Pan , Hanshu Yan , Wenqing Zhang , Vincent Y. F. Tan , Song Bai