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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

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

Recent developments in 3D reconstruction and neural rendering have significantly propelled the capabilities of photo-realistic 3D scene rendering across various academic and industrial fields. The 3D Gaussian Splatting technique, alongside…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Zexu Huang , Min Xu , Stuart Perry

Diffusion-based 2D virtual try-on (VTON) techniques have recently demonstrated strong performance, while the development of 3D VTON has largely lagged behind. Despite recent advances in text-guided 3D scene editing, integrating 2D VTON into…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Yukang Cao , Masoud Hadi , Liang Pan , Ziwei Liu

Radiance fields represented by 3D Gaussians excel at synthesizing novel views, offering both high training efficiency and fast rendering. However, with sparse input views, the lack of multi-view consistency constraints results in poorly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Yuru Xiao , Deming Zhai , Wenbo Zhao , Kui Jiang , Junjun Jiang , Xianming Liu

Recent video diffusion models have made remarkable strides in visual quality, yet precise, fine-grained control remains a key bottleneck that limits practical customizability for content creation. For AI video creators, three forms of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Zhenghong Zhou , Xiaohang Zhan , Zhiqin Chen , Soo Ye Kim , Nanxuan Zhao , Haitian Zheng , Qing Liu , He Zhang , Zhe Lin , Yuqian Zhou , Jiebo Luo

The recent advances in 3D Gaussian Splatting (3DGS) show promising results on the novel view synthesis (NVS) task. With its superior rendering performance and high-fidelity rendering quality, 3DGS is excelling at its previous NeRF…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Yu Chen , Gim Hee Lee

Image editing approaches with diffusion models have been rapidly developed, yet their applicability are subject to requirements such as specific editing types (e.g., foreground or background object editing, style transfer), multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Yuming Qiao , Fanyi Wang , Jingwen Su , Yanhao Zhang , Yunjie Yu , Siyu Wu , Guo-Jun Qi

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

Promptable segmentation has emerged as a powerful paradigm in computer vision, enabling users to guide models in parsing complex scenes with prompts such as clicks, boxes, or textual cues. Recent advances, exemplified by the Segment…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Yoonwoo Jeong , Cheng Sun , Yu-Chiang Frank Wang , Minsu Cho , Jaesung Choe

3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to become a mainstream method for 3D representations. It can effectively transform multi-view images into explicit 3D Gaussian through efficient training,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Yanqi Bao , Tianyu Ding , Jing Huo , Yaoli Liu , Yuxin Li , Wenbin Li , Yang Gao , Jiebo Luo

3D Gaussian Splatting (3DGS) has recently transformed photorealistic reconstruction, achieving high visual fidelity and real-time performance. However, rendering quality significantly deteriorates when test views deviate from the camera…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Yutong Chen , Marko Mihajlovic , Xiyi Chen , Yiming Wang , Sergey Prokudin , Siyu Tang

3D face editing is a significant task in multimedia, aimed at the manipulation of 3D face models across various control signals. The success of 3D-aware GAN provides expressive 3D models learned from 2D single-view images only, encouraging…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Zhuo Chen , Yichao Yan , Sehngqi Liu , Yuhao Cheng , Weiming Zhao , Lincheng Li , Mengxiao Bi , Xiaokang Yang

3D scene understanding from single images is a pivotal problem in computer vision with numerous downstream applications in graphics, augmented reality, and robotics. While diffusion-based modeling approaches have shown promise, they often…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Wanhee Lee , Klemen Kotar , Rahul Mysore Venkatesh , Jared Watrous , Honglin Chen , Khai Loong Aw , Daniel L. K. Yamins

3D Gaussian Splatting (3DGS) has demonstrated outstanding performance in novel view synthesis, achieving a balance between rendering quality and real-time performance. 3DGS employs Adaptive Density Control (ADC) to increase the number of…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Xiaobin Deng , Changyu Diao , Min Li , Ruohan Yu , Duanqing Xu

The limited robustness of 3D Gaussian Splatting (3DGS) to motion blur and camera noise, along with its poor real-time performance, restricts its application in robotic SLAM tasks. Upon analysis, the primary causes of these issues are the…

Robotics · Computer Science 2024-05-31 Peifeng Jiang , Hong Liu , Xia Li , Ti Wang , Fabian Zhang , Joachim M. Buhmann

Text-driven image synthesis has made significant advancements with the development of diffusion models, transforming how visual content is generated from text prompts. Despite these advances, text-driven image editing, a key area in…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Mingzhen Huang , Jialing Cai , Shan Jia , Vishnu Suresh Lokhande , Siwei Lyu

3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence across camera frames and multiple views is crucial, be it for…

Reconstructing real-world objects from multi-view images is essential for applications in 3D editing, AR/VR, and digital content creation. Existing methods typically prioritize either geometric accuracy (Multi-View Stereo) or photorealistic…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Zhejia Cai , Puhua Jiang , Shiwei Mao , Hongkun Cao , Ruqi Huang

Recent studies have extended diffusion-based instruction-driven 2D image editing pipelines to 3D Gaussian Splatting (3DGS), enabling faithful manipulation of 3DGS assets and greatly advancing 3DGS content creation. However, it also exposes…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Ziming Hong , Tianyu Huang , Runnan Chen , Shanshan Ye , Mingming Gong , Bo Han , Tongliang Liu