FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance

FancyVideo is an open‑source UNet‑based video generation model that supports arbitrary resolutions, aspect ratios, styles, and motion dynamics by introducing a Cross‑frame Textual Guidance Module (CTGM) with temporal injectors, refiners, and boosters, achieving state‑of‑the‑art results on multiple benchmarks and enabling versatile applications such as video extension, backtracking, and frame interpolation.

AI researchUNetVideo Generation

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FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance

Rare Earth Juejin Tech Community

Jan 19, 2024 · Artificial Intelligence

Image Mosaic Removal Using Autoencoder and UNet in PyTorch

This article explains how to use autoencoders and a UNet architecture implemented in PyTorch to remove mosaic blocks from images, detailing the underlying principles, dataset preparation, network components, training procedure, and sample results.

AutoencoderImage ProcessingMosaic Removal

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Image Mosaic Removal Using Autoencoder and UNet in PyTorch

Rare Earth Juejin Tech Community

Aug 13, 2023 · Artificial Intelligence

Image Mosaic Removal Using Autoencoder and UNet in PyTorch

This article explains the principle behind using deep‑learning autoencoders and UNet architectures to reconstruct mosaicked images, provides a complete PyTorch implementation with dataset preparation, network definition, training, and inference, and demonstrates the restored results.

AutoencoderImage ProcessingMosaic Removal

0 likes · 13 min read