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Hello, I followed your tutorial step by step. During my operation, the words "data/Celeb-DF-v2/Celeb-synthesis/videos/id30_id4_0001.mp4 Done!
data/Celeb-DF-v2/Celeb-synthesis/videos/id25_id19_0008.mp…
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Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation is a project focused on generating realistic and controllable animations from static images. The goal is to…
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## 一言でいうと
セグメンテーションを行った動画から、実動画を生成する研究。条件付けからの生成(Conditional GAN)を、時系列に沿い連続的に、しかも高解像度で行うという点に挑戦している。前タイムステップの画像を入力に取る、時系列の真贋を判定するDの追加などの工夫が取られている。
### 論文リンク
https://arxiv.org/abs/1808.06601
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Hi @fltwr thanks for sharing such fantastic work!
`test.ipynb` shows how to use the
- Motion model which use VAE + U-Net diffusion to produce frame spectrum
- Frame Synthesis model which use S…
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Has anyone successfully trained the model on video synthesis (video to video, no conditioning)?
I have trained my model for 10K step and still got pretty bad results.
I am currently only trying to…
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I have rendered the video...however, I want the novel view as shown in your paper... after rendering how should I do novel view synthesis..?
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## 一言でいうと
Few-shotでVideo2Videoを行う研究。変換を行うモデルは、1.入力(フレーム+条件(ポーズなど))からの特徴抽出(H)、2.前フレームとの差分からの特徴抽出(W)、3.入力+差分の合成(M)の3要素からなるが、1で使用する重みを動的に生成することで様々な入力(=学習データにない入力)に対応できるようにしている
![image](https://user…
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I tested the model you provided, and found the performance of novel view synthesis unsatisfying.
As is shown by below video, I rotated the avatar from -60 to 60.
![test](https://github.com/user-a…
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## Value Statement
**_As a_** UX researcher on the Benefits team
**_I want to_** create a deliverable that brings together research insights from various studies
**_So that_** the team can have a fund…
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Hello, author. Your work in this field is excellent. I am currently studying a work about video-driven two-dimensional human image movement, and finally a video is generated, but the frame rate is low…