Papers with Code 아카이브
Image Inpainting
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
3DeepRep: 3D Deep Low-rank Tensor Representation for Hyperspectral Image Inpainting
Geological Field Restoration through the Lens of Image Inpainting
DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds
Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
Unsupervised Raindrop Removal from a Single Image using Conditional Diffusion Models
Image Restoration via Multi-domain Learning
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
DGMR: Diffusion Guided Masked Reconstruction Framework for Multimodal Cloud Removal
PixelHacker: Image Inpainting with Structural and Semantic Consistency
DiffusionRIR: Room Impulse Response Interpolation using Diffusion Models
Leveraging Depth Maps and Attention Mechanisms for Enhanced Image Inpainting
Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning
When Cloud Removal Meets Diffusion Model in Remote Sensing
High-Fidelity Image Inpainting with Multimodal Guided GAN Inversion
Hadamard product in deep learning: Introduction, Advances and Challenges
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters
SAR-to-RGB Translation with Latent Diffusion for Earth Observation
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal
MIMRS: A Survey on Masked Image Modeling in Remote Sensing
Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud Removal
A$^\text{T}$A: Adaptive Transformation Agent for Text-Guided Subject-Position Variable Background Inpainting
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
OmnimatteZero: Training-free Real-time Omnimatte with Pre-trained Video Diffusion Models
Depth-Aided Color Image Inpainting in Quaternion Domain
MTV-Inpaint: Multi-Task Long Video Inpainting
PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
Autoregressive Image Generation with Randomized Parallel Decoding
WonderVerse: Extendable 3D Scene Generation with Video Generative Models
Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction
VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control
TextDoctor: Unified Document Image Inpainting via Patch Pyramid Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.