Image Inpainting
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Benchmarks
Places2
Places2 val
CelebA-HQ
CelebA
ImageNet
FFHQ 512 x 512
FFHQ 1024 x 1024
Paris StreetView
ApolloScape
Apolloscape Inpainting
Places365
StreetView
Most implemented
Image Inpainting for Irregular Holes Using Partial Convolutions
High-Resolution Image Synthesis with Latent Diffusion Models
Free-Form Image Inpainting with Gated Convolution
Generative Image Inpainting with Contextual Attention
Implicit Neural Representations with Periodic Activation Functions
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
Papers
Learned End-to-End Guidance Schedules for Diffusion Models
Diffusion models are a powerful generative paradigm used across multimedia and scientific applications. Guided diffusion methods impose requirements on the generation by adding the gradient of a differentiable loss (the …
Image InpaintingQuantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting
This work introduces quantum-inspired tensor-network circuits as trainable transforms for image inpainting. Among the proposed architectures, the diagonal quantum Fourier transform (QFT) relaxation is invertible with $O(…
Image InpaintingHyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpainting
A novel Hyperspectral diffusion Equivariant Imaging (HyDiff-EI) framework for solving the hyperspectral image (HSI) inpainting problem has been presented here. Unlike conventional diffusion-based methods that rely on lar…
Image InpaintingUnwarping the Lens: A Physics-Grounded Approach to Video Glasses Removal
High-fidelity removal of eyeglasses from video is a major challenge in facial attribute editing, as the underlying facial geometry is often obscured by complex refractive distortions and view-dependent specular reflectio…
Image InpaintingSketchSense: Learning to Interpret Imperfect Sketch Guidance for Image Inpainting
Sketch-guided image inpainting provides intuitive structural control, yet real sketches often mix reliable global intent with locally crowded, displaced, incomplete, or deliberately unconventional strokes. Existing appro…
Image InpaintingBeyond Visual Ambiguity: Guiding Robust Monocular Depth Estimation in Challenging Scenarios via Detailed Long Captions
Monocular depth estimation (MDE) faces challenges with non-Lambertian surfaces and adverse weather conditions due to the visual ambiguities inherent in single-image limited information. Existing works address them in iso…
Monocular Depth EstimationImage Inpainting