English
Related papers

Related papers: Sketch3DVE: Sketch-based 3D-Aware Scene Video Edit…

200 papers

Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained control. Sketches provide a cheap approach to introduce such…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Minglin Chen , Weihao Yuan , Yukun Wang , Zhe Sheng , Yisheng He , Zilong Dong , Liefeng Bo , Yulan Guo

Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries.We propose a sketch based knowledge enhanced diffusion architecture (SEK) for generating customized, diverse, and plausible 3D scenes.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Zijie Wu , Mingtao Feng , Yaonan Wang , He Xie , Weisheng Dong , Bo Miao , Ajmal Mian

Learning deformable 3D objects from 2D images is often an ill-posed problem. Existing methods rely on explicit supervision to establish multi-view correspondences, such as template shape models and keypoint annotations, which restricts…

Computer Vision and Pattern Recognition · Computer Science 2022-06-30 Shangzhe Wu , Tomas Jakab , Christian Rupprecht , Andrea Vedaldi

Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current video editing tasks mainly suffer from the dilemma between…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Yutao Chen , Xingning Dong , Tian Gan , Chunluan Zhou , Ming Yang , Qingpei Guo

We introduce Sketch-based Video Object Localization (SVOL), a new task aimed at localizing spatio-temporal object boxes in video queried by the input sketch. We first outline the challenges in the SVOL task and build the Sketch-Video…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Sangmin Woo , So-Yeong Jeon , Jinyoung Park , Minji Son , Sumin Lee , Changick Kim

Depth-image-based rendering is a key view synthesis algorithm in 3D video systems, which enables the synthesis of virtual views from texture images and depth maps. An efficient view synthesis distortion estimation model is critical for…

Image and Video Processing · Electrical Eng. & Systems 2025-10-21 Chongyuan Bi , Jie Liang

We introduce the concept of a subjective camera to reconstruct meaningful moments that physical cameras fail to capture. We propose Subjective Camera 1.0, a framework for reconstructing real-world scenes from readily accessible subjective…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Haoyang Chen , Dongfang Sun , Caoyuan Ma , Shiqin Wang , Kewei Zhang , Zheng Wang , Zhixiang Wang

3D Gaussian Splatting (3DGS) has shown great potential in autonomous driving simulation and data generation, enabling photorealistic reconstruction and flexible scene manipulation. However, existing 3DGS scene editing methods have limited…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Feng Zhou , Jian Zhang , Yuhang Sun , He Wang , Qiong Wen , Debao Kong , Tieru Wu , Rui Ma

Recent advancements of generative AI have significantly promoted content creation and editing, where prevailing studies further extend this exciting progress to video editing. In doing so, these studies mainly transfer the inherent motion…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Chang Liu , Rui Li , Kaidong Zhang , Yunwei Lan , Dong Liu

Recently, several works tackled the video editing task fostered by the success of large-scale text-to-image generative models. However, most of these methods holistically edit the frame using the text, exploiting the prior given by…

Computer Vision and Pattern Recognition · Computer Science 2024-01-08 Elia Peruzzo , Vidit Goel , Dejia Xu , Xingqian Xu , Yifan Jiang , Zhangyang Wang , Humphrey Shi , Nicu Sebe

3D scene generation has quickly become a challenging new research direction, fueled by consistent improvements of 2D generative diffusion models. Most prior work in this area generates scenes by iteratively stitching newly generated frames…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Paul Engstler , Andrea Vedaldi , Iro Laina , Christian Rupprecht

Detecting 3D keypoints from point clouds is important for shape reconstruction, while this work investigates the dual question: can shape reconstruction benefit 3D keypoint detection? Existing methods either seek salient features according…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Chengliang Zhong , Peixing You , Xiaoxue Chen , Hao Zhao , Fuchun Sun , Guyue Zhou , Xiaodong Mu , Chuang Gan , Wenbing Huang

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

High-quality 3D scene reconstruction has recently advanced toward generalizable feed-forward architectures, enabling the generation of complex environments in a single forward pass. However, despite their strong performance in static scene…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Kaixin Zhu , Yiwen Tang , Yifan Yang , Renrui Zhang , Bohan Zeng , Ziyu Guo , Ruichuan An , Zhou Liu , Qizhi Chen , Delin Qu , Jaehong Yoon , Wentao Zhang

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

We present I2V3D, a novel framework for animating static images into dynamic videos with precise 3D control, leveraging the strengths of both 3D geometry guidance and advanced generative models. Our approach combines the precision of a…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Zhiyuan Zhang , Dongdong Chen , Jing Liao

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

In this paper, we propose VideoFrom3D, a novel framework for synthesizing high-quality 3D scene videos from coarse geometry, a camera trajectory, and a reference image. Our approach streamlines the 3D graphic design workflow, enabling…

Graphics · Computer Science 2025-09-23 Geonung Kim , Janghyeok Han , Sunghyun Cho

Sketch editing requires jointly handling high-level semantic changes and precise local redrawing, a combination that is particularly challenging for sparse, style-sensitive line art. Unlike natural images, sketches rely on minimal visual…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Han Zou , Yan Zhang , Ruiqi Yu , Cong Xie , Jie Huang , Zhenpeng Zhan

Personalization techniques for large text-to-image (T2I) models allow users to incorporate new concepts from reference images. However, existing methods primarily rely on textual descriptions, leading to limited control over customized…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Chufeng Xiao , Hongbo Fu