【Others】その他ツール まとめ

【Image Edit】画像編集


Reshot AI

TurboEdit

Diffusers Image Outpaint

Instant Drag

InstantDrag for fast and light Drag Editing. arXiv2024
Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.

PMRF: 高画質化

【Removal】除去


音声除去:

背景除去: not-lain/locally-compatible-BG-removal

【Motion Capture】モーションキャプチャ


1/ MoveAI

2/ talking-head-anime-4-demo

talking-head-anime-4-demo
pkhungurnUpdated Oct 26, 2024

【Analysis】解析


Segment Anything 2

VGGHeads

【Logo/Icon Design】


Recraft


© Yusuke Sugino 2024