Dust3r: Geometric 3d vision made easy
Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …
Realfill: Reference-driven generation for authentic image completion
Recent advances in generative imagery have brought forth outpainting and inpainting
models that can produce high-quality, plausible image content in unknown regions …
models that can produce high-quality, plausible image content in unknown regions …
Fast diffusion model
Despite their success in real data synthesis, diffusion models (DMs) often suffer from slow
and costly training and sampling issues, limiting their broader applications. To mitigate this …
and costly training and sampling issues, limiting their broader applications. To mitigate this …
TransRef: Multi-scale reference embedding transformer for reference-guided image inpainting
Image inpainting for completing complicated semantic environments and diverse hole
patterns of corrupted images is challenging even for state-of-the-art learning-based …
patterns of corrupted images is challenging even for state-of-the-art learning-based …
Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey
Artificial Intelligence significantly enhances the visual art industry by analyzing, identifying
and generating digitized artistic images. This review highlights the substantial benefits of …
and generating digitized artistic images. This review highlights the substantial benefits of …
Reference-Based Multi-Stage Progressive Restoration for Multi-Degraded Images
Y Zhang, Q Yang, DM Chandler… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Image restoration (IR) via deep learning has been vigorously studied in recent years.
However, due to the ill-posed nature of the problem, it is challenging to recover the high …
However, due to the ill-posed nature of the problem, it is challenging to recover the high …
[HTML][HTML] Unified Domain Adaptation for Specialized Indoor Scene Inpainting Using a Pre-Trained Model
A Akter, M Lee - Electronics, 2024 - mdpi.com
Image inpainting for indoor environments presents unique challenges due to complex
spatial relationships, diverse lighting conditions, and domain-specific object configurations …
spatial relationships, diverse lighting conditions, and domain-specific object configurations …