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

200 papers

A sketch based 3D shape retrieval

Computer Vision and Pattern Recognition · Computer Science 2019-03-14 Yinjie Lei , Ziqin Zhou , Pingping Zhang , Yulan Guo , Zijun Ma , Lingqiao Liu

Despite the fact that text-to-video (TTV) model has recently achieved remarkable success, there have been few approaches on TTV for its extension to video editing. Motivated by approaches on TTV models adapting from diffusion-based…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Chaehun Shin , Heeseung Kim , Che Hyun Lee , Sang-gil Lee , Sungroh Yoon

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 advances in 3D representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have greatly improved realistic scene modeling and novel-view synthesis. However, achieving controllable and consistent editing in dynamic 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Kai He , Chin-Hsuan Wu , Igor Gilitschenski

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)…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Yao-Chih Lee , Zhoutong Zhang , Jiahui Huang , Jui-Hsien Wang , Joon-Young Lee , Jia-Bin Huang , Eli Shechtman , Zhengqi Li

We present a novel framework for enhancing the visual fidelity and consistency of text-guided 3D Gaussian Splatting (3DGS) editing. Existing editing approaches face two critical challenges: inconsistent geometric reconstructions across…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Xuanqi Zhang , Jieun Lee , Chris Joslin , Wonsook Lee

Reference-based video object segmentation is an emerging topic which aims to segment the corresponding target object in each video frame referred by a given reference, such as a language expression or a photo mask. However, language…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Ruolin Yang , Da Li , Conghui Hu , Timothy Hospedales , Honggang Zhang , Yi-Zhe Song

Temporal consistency is essential for video editing applications. Existing work on layered representation of videos allows propagating edits consistently to each frame. These methods, however, can only edit object appearance rather than…

Computer Vision and Pattern Recognition · Computer Science 2023-01-31 Yao-Chih Lee , Ji-Ze Genevieve Jang , Yi-Ting Chen , Elizabeth Qiu , Jia-Bin Huang

As 3D models become critical in today's manufacturing and product design, conventional 3D modeling approaches based on Computer-Aided Design (CAD) are labor-intensive, time-consuming, and have high demands on the creators. This work aims to…

Multimedia · Computer Science 2023-10-31 Ying Zang , Chenglong Fu , Tianrun Chen , Yuanqi Hu , Qingshan Liu , Wenjun Hu

Diffusion probabilistic models have demonstrated significant potential in generating high-quality, realistic medical images, providing a promising solution to the persistent challenge of data scarcity in the medical field. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Delin An , Chaoli Wang

3D-aware portrait editing has a wide range of applications in multiple fields. However, current approaches are limited due that they can only perform mask-guided or text-based editing. Even by fusing the two procedures into a model, the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Kangneng Zhou , Daiheng Gao , Xuan Wang , Jie Zhang , Peng Zhang , Xusen Sun , Longhao Zhang , Shiqi Yang , Bang Zhang , Liefeng Bo , Yaxing Wang , Ming-Ming Cheng

We introduce VIVE3D, a novel approach that extends the capabilities of image-based 3D GANs to video editing and is able to represent the input video in an identity-preserving and temporally consistent way. We propose two new building…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Anna Frühstück , Nikolaos Sarafianos , Yuanlu Xu , Peter Wonka , Tony Tung

This paper proposes Instruct 4D-to-4D that achieves 4D awareness and spatial-temporal consistency for 2D diffusion models to generate high-quality instruction-guided dynamic scene editing results. Traditional applications of 2D diffusion…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Linzhan Mou , Jun-Kun Chen , Yu-Xiong Wang

Converting hand-drawn sketches into structured 3D geometries remains challenging due to the difficulty of representing non-Euclidean surfaces and maintaining topological consistency. Existing generative models such as GANs, NeRFs, and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Wenda Wang , Anqi Liu , Junqi Yang , Lei He , Luying Wang , Jiachen Lu , Weixin Huang

Advancements in 3D scene reconstruction have transformed 2D images from the real world into 3D models, producing realistic 3D results from hundreds of input photos. Despite great success in dense-view reconstruction scenarios, rendering a…

Computer Vision and Pattern Recognition · Computer Science 2025-06-26 Fangfu Liu , Wenqiang Sun , Hanyang Wang , Yikai Wang , Haowen Sun , Junliang Ye , Jun Zhang , Yueqi Duan

Sketches are the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly envision a 3D object from it. This suggests that sketches encode…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Jiayun Wang , Jierui Lin , Qian Yu , Runtao Liu , Yubei Chen , Stella X. Yu

Video editing is a challenging task that requires manipulating videos on both the spatial and temporal dimensions. Existing methods for video editing mainly focus on changing the appearance or style of the objects in the video, while…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Yao Teng , Enze Xie , Yue Wu , Haoyu Han , Zhenguo Li , Xihui Liu

3D editing has shown remarkable capability in editing scenes based on various instructions. However, existing methods struggle with achieving intuitive, localized editing, such as selectively making flowers blossom. Drag-style editing has…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Chenghao Gu , Zhenzhe Li , Zhengqi Zhang , Yunpeng Bai , Shuzhao Xie , Zhi Wang

Text-driven 3D scene editing has attracted considerable interest due to its convenience and user-friendliness. However, methods that rely on implicit 3D representations, such as Neural Radiance Fields (NeRF), while effective in rendering…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Pengcheng Xue , Yan Tian , Qiutao Song , Ziyi Wang , Linyang He , Weiping Ding , Mahmoud Hassaballah , Karen Egiazarian , Wei-Fa Yang , Leszek Rutkowski

Video inpainting fills in corrupted video content with plausible replacements. While recent advances in endoscopic video inpainting have shown potential for enhancing the quality of endoscopic videos, they mainly repair 2D visual…

Image and Video Processing · Electrical Eng. & Systems 2024-07-04 Francis Xiatian Zhang , Shuang Chen , Xianghua Xie , Hubert P. H. Shum