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Related papers: Vinedresser3D: Agentic Text-guided 3D Editing

200 papers

Vision language navigation is the task that requires an agent to navigate through a 3D environment based on natural language instructions. One key challenge in this task is to ground instructions with the current visual information that the…

Computation and Language · Computer Science 2021-04-21 Jialu Li , Hao Tan , Mohit Bansal

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

We present a method for zero-shot, text-driven appearance manipulation in natural images and videos. Given an input image or video and a target text prompt, our goal is to edit the appearance of existing objects (e.g., object's texture) or…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Omer Bar-Tal , Dolev Ofri-Amar , Rafail Fridman , Yoni Kasten , Tali Dekel

Recent works have explored text-guided image editing using diffusion models and generated edited images based on text prompts. However, the models struggle to accurately locate the regions to be edited and faithfully perform precise edits.…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Qian Wang , Biao Zhang , Michael Birsak , Peter Wonka

Text-to-image (T2I) diffusion models such as SDXL and FLUX have achieved impressive photorealism, yet small-scale distortions remain pervasive in limbs, face, text and so on. Existing refinement approaches either perform costly iterative…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Shaocheng Shen , Jianfeng Liang , Chunlei Cai , Cong Geng , Huiyu Duan , Xiaoyun Zhang , Qiang Hu , Guangtao Zhai

Text-guided image editing aims to modify specific regions according to the target prompt while preserving the identity of the source image. Recent methods exploit explicit binary masks to constrain editing, but hard mask boundaries…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Yongwen Lai , Chaoqun Wang , Shaobo Min

With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due to its widespread applicability in daily life. Despite impressive progress, existing image editing systems, particularly…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Yiran Zhao , Yaoqi Ye , Xiang Liu , Michael Qizhe Shieh , Trung Bui

3D editing - the task of locally modifying the geometry or appearance of a 3D asset - has wide applications in immersive content creation, digital entertainment, and AR/VR. However, unlike 2D editing, it remains challenging due to the need…

Computer Vision and Pattern Recognition · Computer Science 2025-10-06 Ruihao Xia , Yang Tang , Pan Zhou

Visual reasoning -- the ability to interpret the visual world -- is crucial for embodied agents that operate within three-dimensional scenes. Progress in AI has led to vision and language models capable of answering questions from images.…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Damiano Marsili , Rohun Agrawal , Yisong Yue , Georgia Gkioxari

Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming process which requires both artistic skill and familiarity with…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Başak Melis Öcal , Maxim Tatarchenko , Sezer Karaoglu , Theo Gevers

Research in vision-language models has seen rapid developments off-late, enabling natural language-based interfaces for image generation and manipulation. Many existing text guided manipulation techniques are restricted to specific classes…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Paramanand Chandramouli , Kanchana Vaishnavi Gandikota

Creators struggle to edit long-form, narrative-rich videos not because of UI complexity, but due to the cognitive demands of searching, storyboarding, and sequencing hours of footage. Existing transcript- or embedding-based methods fall…

Artificial Intelligence · Computer Science 2025-09-30 Zihan Ding , Xinyi Wang , Junlong Chen , Per Ola Kristensson , Junxiao Shen

Text-to-video generation has been dominated by diffusion-based or autoregressive models. These novel models provide plausible versatility, but are criticized for improper physical motion, shading and illumination, camera motion, and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Liu He , Yizhi Song , Hejun Huang , Pinxin Liu , Yunlong Tang , Daniel Aliaga , Xin Zhou

Editing a 3D asset locally, modifying a target region while preserving the rest, is a fundamental requirement of native 3D editing. Existing methods enforce locality through mechanisms external to the generator, such as manual 3D masks,…

Graphics · Computer Science 2026-05-11 Hao Liu , Yuxuan Lin , Jingfeng Guo , Ruihang Chu , Junjie Wang , Ruotong Li , Yujiu Yang

Recent text-guided image editing (TIE) models have made remarkable progress, yet edited images still frequently suffer from fine-grained issues such as unnatural objects, lighting mismatch, and unexpected changes. Existing refinement…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Zitong Xu , Huiyu Duan , Yifei Nie , Mingda Du , Sijing Wu , Xiongkuo Min , Tianyi Zheng , Jian Zhang , Shusong Xu , Jinwei Chen , Bo Li , Guangtao Zhai

Existing generative approaches for guided image synthesis of multi-object scenes typically rely on 2D controls in the image or text space. As a result, these methods struggle to maintain and respect consistent three-dimensional geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Léopold Maillard , Tom Durand , Adrien Ramanana Rahary , Maks Ovsjanikov

In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). We aim at stylizing any 3D scene with an arbitrary style from a text description, and synthesizing the novel stylized view, which is…

Computer Vision and Pattern Recognition · Computer Science 2023-05-29 Ming Gao , YanWu Xu , Yang Zhao , Tingbo Hou , Chenkai Zhao , Mingming Gong

Recently, text-to-image generation has exhibited remarkable advancements, with the ability to produce visually impressive results. In contrast, text-to-3D generation has not yet reached a comparable level of quality. Existing methods…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Yukang Cao , Yan-Pei Cao , Kai Han , Ying Shan , Kwan-Yee K. Wong

Visual editing with diffusion models has made significant progress but often struggles with complex scenarios that textual guidance alone could not adequately describe, highlighting the need for additional non-text editing prompts. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Hyeonyu Kim , Seokhoon Jeong , Seonghee Han , Chanhyuk Choi , Taehwan Kim

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