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An improved flagship model, Flux 1.1 Pro was released on 2 October 2024. [27] [28] Two additional modes were added on 6 November, Ultra which can generate image at four times higher resolution and up to 4 megapixel without affecting generation speed and Raw which can generate hyper-realistic image in the style of candid photography. [29] [30] [31]
Technically, the model developed for MakeHuman is: Light and optimized for subdivision surfaces modelling (15,128 vertices). Quads only. The human mesh itself is triangles free, using Catmull-Clark subdivision for extra resolution to base meshes, see also polygon mesh. Only E(5) Pole and the N(3) Pole, without holes and without 6-edge poles.
Any combination of these four expressions can be used to animate the mouth shape. Similar controls can be applied to animate an entire human-like model. Human image synthesis is technology that can be applied to make believable and even photorealistic renditions [1] [2] of human-likenesses, moving or still. It has effectively existed since the ...
CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL-E's output by predicting which caption from a list of 32,768 captions randomly selected from the dataset (of which one was the correct answer) is most ...
The software is designed as a laboratory [5] in constant evolution and includes both consolidated algorithms as the 3D morphing and experimental technologies, as the fuzzy mathematics used to handle the relations between human parameters, the non-linear interpolation [6] used to define the age, mass and tone, the auto-modelling engine based on body proportions and the expert system used to ...
Like SinGAN, it decomposes the generator as =, and the discriminator as =. During training, at first only G N , D N {\displaystyle G_{N},D_{N}} are used in a GAN game to generate 4x4 images. Then G N − 1 , D N − 1 {\displaystyle G_{N-1},D_{N-1}} are added to reach the second stage of GAN game, to generate 8x8 images, and so on, until we ...
The 3D Morphable Model (3DMM) is a general framework that has been applied to various objects other than faces, e.g., the whole human body, [3] [4] specific body parts, [5] [6] and animals. [ 7 ] 3DMMs were first developed to solve vision tasks by representing objects in terms of the prior knowledge that can be gathered from that object class.
A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom , as a result of advances in deep neural networks .