Reproducing AD-NeRF synthesizes face video from audio and face images and shows natural speaking style
Reproducing AD-NeRF synthesizes face video from audio and face images and shows natural speaking style
flyfish
Synthesizing facial video sequences driven by high fidelity audio is an important and challenging problem in many applications such as digital human, chat robot and virtual video conference. The speech head generation process is rega ...
Posted by cyh123 on Thu, 16 Dec 2021 15:03:06 +0100
[image processing] GUI based image morphological processing [Matlab 1287]
1, Introduction to morphology
1 Overview 1.1 basic idea The corresponding shape in the image is measured and extracted by the structural elements with a certain shape, so as to achieve the purpose of image analysis and recognition
1.2 basic operation Expansion, corrosion, opening and closing operation
1.3 fundamentals of Mathematics set theo ...
Posted by apsomum on Thu, 16 Dec 2021 06:20:25 +0100
Tensor operation under Paddle and simple regression problems
Introduction: _Using the basic functions in Paddle, ordinary linear and Logistic regression problems, especially the observation of the structure of network coefficients, are designed, which can then be used to modify the network. Keywords: Paddle, Linear Regression, Logistics
_01 Basic Operations
_Tensor is the basic unit ...
Posted by wittanthony on Thu, 16 Dec 2021 00:22:52 +0100
Tensorflow 2.4.0 on linux Compile and run the 1 - GPU C + + interface pb model
All error reports and Solutions
cmake .. Error reporting set
stay
make error collection
stay
./ your_demo process error collection
1. Segment error (core dumped)
Cause: the program has cross-border access 1) Memory access out of bounds (array out of bounds) 2) Multithreading is unsafe 3) Stack overflow (using large local variab ...
Posted by freewholly on Wed, 15 Dec 2021 22:27:54 +0100
Ingenious, the second element migration filter animegan + fmpeg (picture + video) of pytoch of M1 mac system
The original text is reproduced from "Liu Yue's technology blog" https://v3u.cn/a_id_201Some time ago, AnimeGAN, the industry's famous animation style transformation filter library, released the latest v2 version. For a time, there was no difference in the limelight. Tiktok two yuan, the largest user base in China is undoubtedly the j ...
Posted by knickerlas on Wed, 15 Dec 2021 22:05:28 +0100
[model reasoning] quantization implementation share 1: explain the implementation of min max symmetric quantization algorithm in detail
Welcome to my official account, reply to 001 Google programming specification. O_o >_< o_O O_o ~_~ o_O Hello, I'm Jizhi horizon. This paper analyzes the implementation of min max symmetric quantization algorithm, taking Tengine's implementation as an example. Tengine is an excellent end-to-end deep learning reasoni ...
Posted by newbie79 on Wed, 15 Dec 2021 18:35:13 +0100
PSP module tensorflow / pytoch implementation summary
every blog every motto: You can do more than you think.
0. Preface
Simple summary of pyramid pooling module.
Nonsense: I'm still picky about food. Hey,
1. Text
1.1 basic concepts
Pyramid pool module, that is, pool operation with different scales.
For example, the size of the characteristic diagram after pooling is 1 × 1, (regardles ...
Posted by tablex on Wed, 15 Dec 2021 12:48:42 +0100
R language ecology JAGS simulation data, linear regression, Cormack jolly Seber CJS model fitting MCMC to estimate animal survival and visualization
Original link: http://tecdat.cn/?p=24721 In this paper, I use two examples that may be of interest to population ecologists to illustrate the use of "JAGS" to simulate data: the first is linear regression, and the second is to estimate animal survival rate (formulated as state space model).Recently, I have been trying to simulate dat ...
Posted by DaiWelsh on Wed, 15 Dec 2021 12:17:28 +0100
Emotion classification model of Chinese comments based on fine tuning BERT (supporting CPU and GPU)
Migrate Chinese bert Model( chinese-bert-wwm),Complete the emotion classification of more than 20000 comment data, which is divided into 0-Good, 1-General, 2-Poor.
Learn bert After the model became powerful, I couldn't help but sigh that the model used in the previous competition was too rubbish to see and think bert Training models to sim ...
Posted by aunquarra on Wed, 15 Dec 2021 09:15:06 +0100
CoAtNet practice: use CoAtNet to classify plant seedlings (pytorch)
Although transformer has very strong learning and modeling ability in CV tasks, it lacks inductive bias like CNN, so transformer's generalization ability is relatively poor compared with CNN. Therefore, if only Transformer Models global information, Without pre training (JFT-300M), transformer is difficult to surpass CNN in performance (without ...
Posted by Coreyjames25 on Wed, 15 Dec 2021 01:36:35 +0100