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Related papers: PrEditor3D: Fast and Precise 3D Shape Editing

200 papers

Precise geometric control in image generation is essential for engineering \& product design and creative industries to control 3D object features accurately in image space. Traditional 3D editing approaches are time-consuming and demand…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Phillip Mueller , Talip Uenlue , Sebastian Schmidt , Marcel Kollovieh , Jiajie Fan , Stephan Guennemann , Lars Mikelsons

3D editing refers to the ability to apply local or global modifications to 3D assets. Effective 3D editing requires maintaining semantic consistency by performing localized changes according to prompts, while also preserving local…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Yizhao Xu , Hongyuan Zhu , Caiyun Liu , Tianfu Wang , Keyu Chen , Sicheng Xu , Jiaolong Yang , Nicholas Jing Yuan , Qi Zhang

The advancement of text-driven 3D content editing has been blessed by the progress from 2D generative diffusion models. However, a major obstacle hindering the widespread adoption of 3D content editing is its time-intensive processing. This…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Liangchen Song , Liangliang Cao , Jiatao Gu , Yifan Jiang , Junsong Yuan , Hao Tang

Recently, impressive results have been achieved in 3D scene editing with text instructions based on a 2D diffusion model. However, current diffusion models primarily generate images by predicting noise in the latent space, and the editing…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Junjie Wang , Jiemin Fang , Xiaopeng Zhang , Lingxi Xie , Qi Tian

Image and shape editing are ubiquitous among digital artworks. Graphics algorithms facilitate artists and designers to achieve desired editing intents without going through manually tedious retouching. In the recent advance of machine…

Graphics · Computer Science 2023-04-20 Cheng-Kang Ted Chao , Yotam Gingold

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

Text-to-Image (T2I) diffusion models have recently gained traction for their versatility and user-friendliness in 2D content generation and editing. However, training a diffusion model specifically for 3D scene editing is challenging due to…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Nazmul Karim , Hasan Iqbal , Umar Khalid , Jing Hua , Chen Chen

Manually authoring 3D shapes is difficult and time consuming; generative models of 3D shapes offer compelling alternatives. Procedural representations are one such possibility: they offer high-quality and editable results but are difficult…

Most instruction-driven 3D editing methods rely on 2D models to guide the explicit and iterative optimization of 3D representations. This paradigm, however, suffers from two primary drawbacks. First, it lacks a universal design of different…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Chen Liyi , Wang Pengfei , Zhang Guowen , Ma Zhiyuan , Zhang Lei

Text-driven 3D editing seeks to modify 3D scenes according to textual descriptions, and most existing approaches tackle this by adapting pre-trained 2D image editors to multi-view inputs. However, without explicit control over multi-view…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Zhe Zhu , Honghua Chen , Peng Li , Mingqiang Wei

While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short in delivering separable, precise and consistent outcomes that are vital to content creation. In response, we…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Yuhan Li , Yishun Dou , Yue Shi , Yu Lei , Xuanhong Chen , Yi Zhang , Peng Zhou , Bingbing Ni

This paper presents a fully automatic framework for extracting editable 3D objects directly from a single photograph. Unlike previous methods which recover either depth maps, point clouds, or mesh surfaces, we aim to recover 3D objects with…

Computer Vision and Pattern Recognition · Computer Science 2020-05-29 Xin Chen , Yuwei Li , Xi Luo , Tianjia Shao , Jingyi Yu , Kun Zhou , Youyi Zheng

Modern CAD tools represent 3D designs not only as geometry, but also as a program composed of geometric operations, each of which depends on a set of parameters. Program representations enable meaningful and controlled shape variations via…

Graphics · Computer Science 2021-10-05 Dan Cascaval , Mira Shalah , Phillip Quinn , Rastislav Bodik , Maneesh Agrawala , Adriana Schulz

This paper presents a novel framework termed Cut-and-Paste for real-word semantic video editing under the guidance of text prompt and additional reference image. While the text-driven video editing has demonstrated remarkable ability to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Zhichao Zuo , Zhao Zhang , Yan Luo , Yang Zhao , Haijun Zhang , Yi Yang , Meng Wang

There is a growing demand for the accessible creation of high-quality 3D avatars that are animatable and customizable. Although 3D morphable models provide intuitive control for editing and animation, and robustness for single-view face…

Computer Vision and Pattern Recognition · Computer Science 2023-05-05 Connor Z. Lin , Koki Nagano , Jan Kautz , Eric R. Chan , Umar Iqbal , Leonidas Guibas , Gordon Wetzstein , Sameh Khamis

A popular way to create detailed yet easily controllable 3D shapes is via procedural modeling, i.e. generating geometry using programs. Such programs consist of a series of instructions along with their associated parameter values. To fully…

Graphics · Computer Science 2022-03-24 R. Kenny Jones , David Charatan , Paul Guerrero , Niloy J. Mitra , Daniel Ritchie

Existing 2D-lifting-based 3D editing methods often encounter challenges related to inconsistency, stemming from the lack of view-consistent 2D editing models and the difficulty of ensuring consistent editing across multiple views. To…

Graphics · Computer Science 2025-11-03 Zeng Tao , Zheng Ding , Zeyuan Chen , Xiang Zhang , Leizhi Li , Zhuowen Tu

Texture is an essential property of physical objects that affects aesthetics, usability, and functionality. However, designing and applying textures to 3D objects with existing tools remains difficult and time-consuming; it requires…

Human-Computer Interaction · Computer Science 2017-03-17 Ryo Suzuki , Tom Yeh , Koji Yatani , Mark D. Gross

We introduce a 3D detailizer, a neural model which can instantaneously (in <1s) transform a coarse 3D shape proxy into a high-quality asset with detailed geometry and texture as guided by an input text prompt. Our model is trained using the…

Graphics · Computer Science 2025-09-30 Qimin Chen , Yuezhi Yang , Wang Yifan , Vladimir G. Kim , Siddhartha Chaudhuri , Hao Zhang , Zhiqin Chen

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