[HTML][HTML] Data augmentation: A comprehensive survey of modern approaches
A Mumuni, F Mumuni - Array, 2022 - Elsevier
To ensure good performance, modern machine learning models typically require large
amounts of quality annotated data. Meanwhile, the data collection and annotation processes …
amounts of quality annotated data. Meanwhile, the data collection and annotation processes …
Image inpainting based on deep learning: A review
X Zhang, D Zhai, T Li, Y Zhou, Y Lin - Information Fusion, 2023 - Elsevier
Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …
widely used in image editing and photo inpainting etc. Traditional image inpainting …
Improving diffusion models for inverse problems using manifold constraints
Recently, diffusion models have been used to solve various inverse problems in an
unsupervised manner with appropriate modifications to the sampling process. However, the …
unsupervised manner with appropriate modifications to the sampling process. However, the …
Repaint: Inpainting using denoising diffusion probabilistic models
Free-form inpainting is the task of adding new content to an image in the regions specified
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …
Codetalker: Speech-driven 3d facial animation with discrete motion prior
Speech-driven 3D facial animation has been widely studied, yet there is still a gap to
achieving realism and vividness due to the highly ill-posed nature and scarcity of audio …
achieving realism and vividness due to the highly ill-posed nature and scarcity of audio …
Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts
Inspired by the strong ties between vision and language, the two intimate human sensing
and communication modalities, our paper aims to explore the generation of 3D human full …
and communication modalities, our paper aims to explore the generation of 3D human full …
Deep learning for image inpainting: A survey
Image inpainting has been widely exploited in the field of computer vision and image
processing. The main purpose of image inpainting is to produce visually plausible structure …
processing. The main purpose of image inpainting is to produce visually plausible structure …
Low-light image enhancement with wavelet-based diffusion models
Diffusion models have achieved promising results in image restoration tasks, yet suffer from
time-consuming, excessive computational resource consumption, and unstable restoration …
time-consuming, excessive computational resource consumption, and unstable restoration …
Textdiffuser: Diffusion models as text painters
Diffusion models have gained increasing attention for their impressive generation abilities
but currently struggle with rendering accurate and coherent text. To address this issue, we …
but currently struggle with rendering accurate and coherent text. To address this issue, we …
Diverse image inpainting with bidirectional and autoregressive transformers
Image inpainting is an underdetermined inverse problem, which naturally allows diverse
contents to fill up the missing or corrupted regions realistically. Prevalent approaches using …
contents to fill up the missing or corrupted regions realistically. Prevalent approaches using …