未验证 提交 79a6419f 编写于 作者: L LielinJiang 提交者: GitHub

Add release note 2.1.0 (#515)

* add release note 2.1.0
上级 47f420f1
......@@ -199,6 +199,29 @@ You can run those projects in the [AI Studio](https://aistudio.baidu.com/aistudi
## Changelog
- v2.1.0 (2021.12.8)
- Release a video super-resolution model PP-MSVSR and multiple pre-training weights
- Release several SOTA video super-resolution models and their pre-trained models such as BasicVSR, IconVSR and BasicVSR++
- Release the light-weight motion-driven model(Volume compression: 229M->10.1M), and optimized the fusion effect
- Release high-resolution FOMM and Wav2Lip pre-trained models
- Release several interesting applications based on StyleGANv2, such as face inversion, face fusion and face editing
- Released Baidu’s self-developed and effective style transfer model LapStyle and its interesting applications, and launched the official website [experience page](https://www.paddlepaddle.org.cn/paddlegan)
- Release a light-weight image super-resolution model PAN
- v2.0.0 (2021.6.2)
- Release [Fisrt Order Motion](https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/en_US/tutorials/motion_driving.md) model and multiple pre-training weights
- Release applications that support [Multi-face action driven](https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/en_US/tutorials/motion_driving.md#1-test-for-face)
- Release video super-resolution model [EDVR](https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/en_US/tutorials/video_super_resolution.md) and multiple pre-training weights
- Release the contents of [7-day punch-in training camp](https://github.com/PaddlePaddle/PaddleGAN/tree/develop/education) corresponding to PaddleGAN
- Enhance the robustness of PaddleGAN running on the windows platform
- v2.0.0-beta (2021.3.1)
- Completely switch the API of Paddle 2.0.0 version.
- Release of super-resolution models: ESRGAN, RealSR, LESRCNN, DRN, etc.
- Release lip migration model: Wav2Lip
- Release anime model of Street View: AnimeGANv2
- Release face animation model: U-GAT-IT, Photo2Cartoon
- Release SOTA generation model: StyleGAN2
- v0.1.0 (2020.11.02)
- Release first version, supported models include Pixel2Pixel, CycleGAN, PSGAN. Supported applications include video frame interpolation, super resolution, colorize images and videos, image animation.
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......@@ -229,6 +229,14 @@ GAN--生成对抗网络,被“卷积网络之父”**Yann LeCun(杨立昆)
## 版本更新
- v2.1.0 (2021.12.8)
- 发布视频超分辨率模型PP-MSVSR以及多个预训练权重
- 发布BasicVSR,IconVSR与Basicvsr++等多个效果领先的视频超分辨率模型及其预训练模型
- 发布轻量级动作驱动模型(体积压缩:229M->10.1M),并优化融合效果
- 发布高分辨率的FOMM和Wav2Lip预训练模型
- 发布人脸反演,人脸融合和人脸编辑等多个基于StyleGANv2的有趣应用
- 发布百度自研且效果领先的风格迁移模型LapStyle及其有趣应用,并上线官网[体验页面](https://www.paddlepaddle.org.cn/paddlegan)
- 发布轻量的图像超分辨模型PAN
- v2.0.0 (2021.6.2)
- 发布[Fisrt Order Motion](https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/en_US/tutorials/motion_driving.md)模型以及多个预训练权重
......@@ -236,6 +244,15 @@ GAN--生成对抗网络,被“卷积网络之父”**Yann LeCun(杨立昆)
- 发布视频超分辨模型[EDVR](https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/en_US/tutorials/video_super_resolution.md)以及多个预训练权重
- 发布PaddleGAN对应的[七日打卡训练营](https://github.com/PaddlePaddle/PaddleGAN/tree/develop/education)内容
- 增强PaddleGAN在windows平台运行的鲁棒性
- v2.0.0-beta (2021.3.1)
- 完全切换Paddle 2.0.0版本的API。
- 发布超分辨模型:ESRGAN,RealSR,LESRCNN,DRN等
- 发布唇形迁移模型:Wav2Lip
- 发布街景动漫化模型:AnimeGANv2
- 发布人脸动漫化模型:U-GAT-IT ,Photo2Cartoon
- 发布高清人脸生成模型:StyleGAN2
- v0.1.0 (2020.11.02)
- 初版发布,支持Pixel2Pixel、CycleGAN、PSGAN模型,支持视频插针、超分、老照片/视频上色、视频动作生成等应用。
- 模块化设计,接口简单易用。
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......@@ -154,8 +154,8 @@ Currently, we use mobilenet combined with pruning to compress models, see the co
| | Size(M) | reconstruction loss |
| ---------- | ------- | ------------------- |
| Original | 229 | 0.012058867 |
| Compressed | 6.1 | 0.015025159 |
| Original | 229 | 0.041781392 |
| Compressed | 10.1 | 0.047878753 |
**Training:** First, set mode in configs/firstorder_vox_mobile_256.yaml as kp_detector, train the compressed kp_detector model, and immobilize the original generator model. Then set mode in configs/firstorder_vox_mobile_256.yaml as generator,train the compressed generator model, and immobilize the original kp_detector model. Finally, set mode as both and modify kp_weight_path and gen_weight_path in the config to the path of trained model to train together。
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......@@ -12,4 +12,4 @@
# See the License for the specific language governing permissions and
# limitations under the License.
ppgan_version = '2.0.0'
ppgan_version = '2.1.0'
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