Copertina

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Buburuzan, Alexandru
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MObI: Multimodal Object Inpainting Using Diffusion Models
di: Buburuzan, Alexandru, et al.
Pubblicazione: (2025)

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
di: Zhao, Lirui, et al.
Pubblicazione: (2024)

Cycle Diffusion Model for Counterfactual Image Generation
di: Huang, Fangrui, et al.
Pubblicazione: (2025)

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation
di: Ahmad, Kaleem
Pubblicazione: (2025)

Causally Steered Diffusion for Automated Video Counterfactual Generation
di: Spyrou, Nikos, et al.
Pubblicazione: (2025)

InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models
di: Wang, Kai, et al.
Pubblicazione: (2025)

Fill in the ____ (a Diffusion-based Image Inpainting Pipeline)
di: Gebre, Eyoel, et al.
Pubblicazione: (2024)

3D-Consistent Image Inpainting with Diffusion Models
di: Antsfeld, Leonid, et al.
Pubblicazione: (2024)

Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
di: Tong, Lei, et al.
Pubblicazione: (2025)

FreeCond: Free Lunch in the Input Conditions of Text-Guided Inpainting
di: Hsiao, Teng-Fang, et al.
Pubblicazione: (2024)

Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity
di: Liu, Jing, et al.
Pubblicazione: (2026)

Diffusion Counterfactual Generation with Semantic Abduction
di: Rasal, Rajat, et al.
Pubblicazione: (2025)

FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models
di: Froech, Thomas, et al.
Pubblicazione: (2025)

COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
di: Li, Jiefeng, et al.
Pubblicazione: (2024)

Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation
di: Chen, Tianyi, et al.
Pubblicazione: (2024)

InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
di: Vu, Duc, et al.
Pubblicazione: (2026)

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
di: Cho, Jaemin, et al.
Pubblicazione: (2023)

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations
di: Yan, Haozhen, et al.
Pubblicazione: (2025)

DinoLizer: Learning from the Best for Generative Inpainting Localization
di: Doi, Minh Thong, et al.
Pubblicazione: (2025)

Evaluating the Clinical Impact of Generative Inpainting on Bone Age Estimation
di: Matsuoka, Felipe Akio, et al.
Pubblicazione: (2025)

Counterfactual Edits for Generative Evaluation
di: Lymperaiou, Maria, et al.
Pubblicazione: (2023)

Inpaint Biases: A Pathway to Accurate and Unbiased Image Generation
di: Myung, Jiyoon, et al.
Pubblicazione: (2024)

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models
di: Kim, Keuntae, et al.
Pubblicazione: (2026)

Paired Image Generation with Diffusion-Guided Diffusion Models
di: Zhang, Haoxuan, et al.
Pubblicazione: (2025)

InpaintSLat: Inpainting Structured 3D Latents via Initial Noise Optimization
di: Chung, Jaeyoung, et al.
Pubblicazione: (2026)

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
di: Song, Jaewoo, et al.
Pubblicazione: (2025)

Quaternion Generative Adversarial Neural Networks and Applications to Color Image Inpainting
di: Wang, Duan, et al.
Pubblicazione: (2024)

DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
di: Liu, Tao, et al.
Pubblicazione: (2023)

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion
di: Kumar, Amar, et al.
Pubblicazione: (2025)

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
di: Yeganeh, Yousef, et al.
Pubblicazione: (2024)

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
di: Li, Edward, et al.
Pubblicazione: (2025)

Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation
di: Brioschi, Riccardo, et al.
Pubblicazione: (2025)

GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
di: Kim, Changjin, et al.
Pubblicazione: (2025)

MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness
di: Choi, JaeHyuck, et al.
Pubblicazione: (2025)

Inpainting the Red Planet: Diffusion Models for the Reconstruction of Martian Environments in Virtual Reality
di: Catalano, Giuseppe Lorenzo, et al.
Pubblicazione: (2025)

Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
di: Xia, Tian, et al.
Pubblicazione: (2025)

Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis
di: Xia, Tian, et al.
Pubblicazione: (2026)

TGIF: Text-Guided Inpainting Forgery Dataset
di: Mareen, Hannes, et al.
Pubblicazione: (2024)

AI-Generated Image Detectors Overrely on Global Artifacts: Evidence from Inpainting Exchange
di: Nebioglu, Elif, et al.
Pubblicazione: (2026)

InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On
di: Han, Julien, et al.
Pubblicazione: (2025)