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Related papers: Towards Scalable and Consistent 3D Editing

200 papers

Model editing aims to data-efficiently correct predictive errors of large pre-trained models while ensuring generalization to neighboring failures and locality to minimize unintended effects on unrelated examples. While significant progress…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Yunqiao Yang , Long-Kai Huang , Shengzhuang Chen , Kede Ma , Ying Wei

Despite recent progress in 3D-LLMs, they remain limited in accurately grounding language to visual and spatial elements in 3D environments. This limitation stems in part from training data that focuses on language reasoning rather than…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Yue Zhang , Zun Wang , Han Lin , Jialu Li , Jianing Yang , Yonatan Bitton , Idan Szpektor , Mohit Bansal

Facial attribute editing plays a crucial role in synthesizing realistic faces with specific characteristics while maintaining realistic appearances. Despite advancements, challenges persist in achieving precise, 3D-aware attribute…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Yu-Kai Huang , Yutong Zheng , Yen-Shuo Su , Anudeepsekhar Bolimera , Han Zhang , Fangyi Chen , Marios Savvides

Human face is a 3D object with shape and surface texture. 3D Morphable Model (3DMM) is a powerful tool for reconstructing the 3D face from a single 2D face image. In the shape fitting process, 3DMM estimates the correspondence between 2D…

Computer Vision and Pattern Recognition · Computer Science 2018-08-17 Yu Yanga , Xiao-Jun Wu , Josef Kittler

Recent advances in text-guided image editing and 3D Gaussian Splatting (3DGS) have enabled high-quality 3D scene manipulation. However, existing pipelines rely on iterative edit-and-fit optimization at test time, alternating between 2D…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Haitao Huang , Shin-Fang Chng , Huangying Zhan , Qingan Yan , Yi Xu

Multimodal editing large models have demonstrated powerful editing capabilities across diverse tasks. However, a persistent and long-standing limitation is the decline in facial identity (ID) consistency during realistic portrait editing.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Yuran Dong , Hang Dai , Mang Ye

Creating and editing high-quality 3D content remains a central challenge in computer graphics. We address this challenge by introducing CompoSE, a novel method for Compositional Synthesis and Editing of 3D shapes via part-aware control. Our…

Graphics · Computer Science 2026-05-20 Habib Slim , Shariq Farooq Bhat , Mohamed Elhoseiny , Yifan Wang , Mike Roberts

Despite the recent success of multi-view diffusion models for text/image-based 3D asset generation, instruction-based editing of 3D assets lacks surprisingly far behind the quality of generation models. The main reason is that recent…

Graphics · Computer Science 2025-12-15 Maria Parelli , Michael Oechsle , Michael Niemeyer , Federico Tombari , Andreas Geiger

Text-guided 3D editing aims to modify existing 3D assets using natural-language instructions. Current methods struggle to jointly understand complex prompts, automatically localize edits in 3D, and preserve unedited content. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Yankuan Chi , Xiang Li , Zixuan Huang , James M. Rehg

Existing image editing tools, while powerful, typically disregard the underlying 3D geometry from which the image is projected. As a result, edits made using these tools may become detached from the geometry and lighting conditions that are…

Computer Vision and Pattern Recognition · Computer Science 2023-07-21 Oscar Michel , Anand Bhattad , Eli VanderBilt , Ranjay Krishna , Aniruddha Kembhavi , Tanmay Gupta

Given the steep learning curve of professional 3D software and the time-consuming process of managing large 3D assets, language-guided 3D scene editing has significant potential in fields such as virtual reality, augmented reality, and…

Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and the ambiguous text description lead to the challenge in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Shengqi Liu , Zhuo Chen , Jingnan Gao , Yichao Yan , Wenhan Zhu , Jiangjing Lyu , Xiaokang Yang

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

Face attribute editing plays a pivotal role in various applications. However, existing methods encounter challenges in achieving high-quality results while preserving identity, editing faithfulness, and temporal consistency. These…

Computer Vision and Pattern Recognition · Computer Science 2024-04-15 Guangzhi Wang , Tianyi Chen , Kamran Ghasedi , HsiangTao Wu , Tianyu Ding , Chris Nuesmeyer , Ilya Zharkov , Mohan Kankanhalli , Luming Liang

Despite significant advances in modeling image priors via diffusion models, 3D-aware image editing remains challenging, in part because the object is only specified via a single image. To tackle this challenge, we propose 3D-Fixup, a new…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Yen-Chi Cheng , Krishna Kumar Singh , Jae Shin Yoon , Alex Schwing , Liangyan Gui , Matheus Gadelha , Paul Guerrero , Nanxuan Zhao

Recent advancements in diffusion and flow models have greatly improved text-based image editing, yet methods that edit images independently often produce geometrically and photometrically inconsistent results across different views of the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Josef Bengtson , David Nilsson , Dong In Lee , Yaroslava Lochman , Fredrik Kahl

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

Achieving physically accurate object manipulation in image editing is essential for its potential applications in interactive world models. However, existing visual generative models often fail at precise spatial manipulation, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Ruihang Xu , Dewei Zhou , Xiaolong Shen , Fan Ma , Yi Yang

We consider the problem of editing 3D objects and scenes based on open-ended language instructions. A common approach to this problem is to use a 2D image generator or editor to guide the 3D editing process, obviating the need for 3D data.…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Minghao Chen , Iro Laina , Andrea Vedaldi

Many 3D scene editing tasks focus on modifying local regions rather than the entire scene, except for some global applications like style transfer, and in the context of 3D Gaussian Splatting (3DGS), where scenes are represented by a series…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Lanqing Guo , Yufei Wang , Hezhen Hu , Yan Zheng , Yeying Jin , Siyu Huang , Zhangyang Wang