Copertina

ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Jun-Kun, Wang, Yu-Xiong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ProEdit: Inversion-based Editing From Prompts Done Right
di: Ouyang, Zhi, et al.
Pubblicazione: (2025)

V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes
di: Zhang, Yanming, et al.
Pubblicazione: (2025)

Low-Resolution Editing is All You Need for High-Resolution Editing
di: Lee, Junsung, et al.
Pubblicazione: (2025)

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion
di: Mou, Linzhan, et al.
Pubblicazione: (2024)

SceneCraft: Layout-Guided 3D Scene Generation
di: Yang, Xiuyu, et al.
Pubblicazione: (2024)

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing
di: Chen, Jun-Kun, et al.
Pubblicazione: (2024)

Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts
di: Fang, Shuangkang, et al.
Pubblicazione: (2024)

SeedEdit 3.0: Fast and High-Quality Generative Image Editing
di: Wang, Peng, et al.
Pubblicazione: (2025)

Edit3r: Instant 3D Scene Editing from Sparse Unposed Images
di: Liu, Jiageng, et al.
Pubblicazione: (2025)

A Single Simple Patch is All You Need for AI-generated Image Detection
di: Chen, Jiaxuan, et al.
Pubblicazione: (2024)

GaussEdit: Adaptive 3D Scene Editing with Text and Image Prompts
di: Shu, Zhenyu, et al.
Pubblicazione: (2025)

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
di: Yu, Qifan, et al.
Pubblicazione: (2024)

Choose What You Need: Disentangled Representation Learning for Scene Text Recognition, Removal and Editing
di: Zhang, Boqiang, et al.
Pubblicazione: (2024)

EditInfinity: Image Editing with Binary-Quantized Generative Models
di: Wang, Jiahuan, et al.
Pubblicazione: (2025)

Ideal Registration? Segmentation is All You Need
di: Chen, Xiang, et al.
Pubblicazione: (2025)

Edit One for All: Interactive Batch Image Editing
di: Nguyen, Thao, et al.
Pubblicazione: (2024)

Search is All You Need for Few-shot Anomaly Detection
di: Wang, Qishan, et al.
Pubblicazione: (2025)

GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization
di: Sun, Yanhao, et al.
Pubblicazione: (2024)

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
di: Lin, Haonan, et al.
Pubblicazione: (2024)

Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation
di: Chen, Shifeng, et al.
Pubblicazione: (2026)

Emu3: Next-Token Prediction is All You Need
di: Wang, Xinlong, et al.
Pubblicazione: (2024)

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing
di: Yeh, Chun-Hsiao, et al.
Pubblicazione: (2025)

ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
di: Qu, Xiangyan, et al.
Pubblicazione: (2025)

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction
di: Zhu, Kaixin, et al.
Pubblicazione: (2026)

Generating 360° Video is What You Need For a 3D Scene
di: Zhang, Zhaoyang, et al.
Pubblicazione: (2025)

Exposure Bracketing Is All You Need For A High-Quality Image
di: Zhang, Zhilu, et al.
Pubblicazione: (2024)

Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
di: Wang, Xianlong, et al.
Pubblicazione: (2024)

Edit Where You Mean: Region-Aware Adapter Injection for Mask-Free Local Image Editing
di: Cai, Honghao, et al.
Pubblicazione: (2026)

ProGDF: Progressive Gaussian Differential Field for Controllable and Flexible 3D Editing
di: Zhao, Yian, et al.
Pubblicazione: (2024)

ParameterNet: Parameters Are All You Need
di: Han, Kai, et al.
Pubblicazione: (2023)

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
di: Hui, Mude, et al.
Pubblicazione: (2024)

Edit as You See: Image-guided Video Editing via Masked Motion Modeling
di: Huang, Zhi-Lin, et al.
Pubblicazione: (2025)

Edit-As-Act: Goal-Regressive Planning for Open-Vocabulary 3D Indoor Scene Editing
di: Noh, Seongrae, et al.
Pubblicazione: (2026)

Pairwise Comparisons Are All You Need
di: Chahine, Nicolas, et al.
Pubblicazione: (2024)

Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection
di: Sun, Yihan, et al.
Pubblicazione: (2026)

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
di: Deng, Tianchen, et al.
Pubblicazione: (2023)

Edit As You Wish: Video Caption Editing with Multi-grained User Control
di: Yao, Linli, et al.
Pubblicazione: (2023)

GaussianPro: 3D Gaussian Splatting with Progressive Propagation
di: Cheng, Kai, et al.
Pubblicazione: (2024)

BrushEdit: All-In-One Image Inpainting and Editing
di: Li, Yaowei, et al.
Pubblicazione: (2024)

3D Prior is All You Need: Cross-Task Few-shot 2D Gaze Estimation
di: Cheng, Yihua, et al.
Pubblicazione: (2025)