<p>I was looking for algorithms that quickly compute quite nice realistic, or not realistic, animated landscapes, in video format ("animated" = the camera moves, or the water is animated, etc.) But all I found were: deep learning GANs, which are difficult to train, or even difficult to set or transfer. ("hard" and time-consuming too)</p>

<p>The animated landscapes rendered can be like children's cartoons: I just want to quickly generate landscapes, which have to be quite beautiful, that's all.</p>

<p>What research papers, documentation, tutorials, tools, APIs, libraries, Github/Gitlab repositories should I read? MIT license or equivalent please.</p>

<p>Thank you!</p>

CC BY-SA 4.0
2020-05-09T05:10:45.750Z
Beautiful being subjective, I will focus on the objective part of generating any plausible landscapes. I suggest looking into procedural terrain generation. I am referring mainly to using some noise (value/perlin/worley) and then layering it at different scales (fractal brownian motion). You can find many examples on shadertoy.
lightxbulb
CC BY-SA 4.0
2020-05-09T12:27:16.043Z
Thank you I will look on Github and HackerNews for papers/tutorials/sources examples. Do you think I can generate terrains like these ones (less or not realistic of course, with more abstract or gaming textures than these realistic ones): https://youtu.be/ceGLEhahLKQ?t=1 ?
JarsOfJam-Scheduler
CC BY-SA 4.0
2020-05-09T13:14:01.043Z
Generating terrains as in the video you linked may be feasible, but it's certainly not easy. Here's a representative example of something considered quite good: https://www.shadertoy.com/view/4ttSWf
lightxbulb
CC BY-SA 4.0
2020-05-09T13:33:58.790Z
OK thank you! Well, I have developed a procedural terrain simulator. When I launch it, I end with a 3D terrain with water, a "plausible terrain". But it's not beautiful: there is no snow, no grass, no trees, no flowers, no... nothing, just the terrain and the water. Di you think it would be feasible to use a deep-learning model "Picture2Picture" in order to add these textures, these things to my 3D virgin terrain image? Are "Picture2Picture" networks easier and faster to train than GAN (less than 1 hour)? Do you know if there is a pre-trained Pic2Pic model that could help me with my 3Dterrain?
JarsOfJam-Scheduler
CC BY-SA 4.0
2020-05-09T14:59:17.700Z
I have no idea on how to use ML for this task. As for formulating this as an answer - I believe others may have more valuable input on this.
lightxbulb
<image-processing><image><procedural-generation><video>
What fast algorithms can generate not-realistic but quite handsome animated landscapes?
JarsOfJam-Scheduler
# What fast algorithms can generate not-realistic but quite handsome animated landscapes?

(Asked by: username_0 on 2020-05-08)

I was looking for algorithms that quickly compute quite nice realistic, or not realistic, animated landscapes, in video format ("animated" = the camera moves, or the water is animated, etc.) But all I found were: deep learning GANs, which are difficult to train, or even difficult to set or transfer. ("hard" and time-consuming too)

The animated landscapes rendered can be like children's cartoons: I just want to quickly generate landscapes, which have to be quite beautiful, that's all.

What research papers, documentation, tutorials, tools, APIs, libraries, Github/Gitlab repositories should I read? MIT license or equivalent please.

Thank you!

**Tags:** image-processing, image, procedural-generation, video

> **Comments:**
> **username_1**: Beautiful being subjective, I will focus on the objective part of generating any plausible landscapes. I suggest looking into procedural terrain generation. I am referring mainly to using some noise (value/perlin/worley) and then layering it at different scales (fractal brownian motion). You can find many examples on shadertoy.  
> **username_0**: Thank you I will look on Github and HackerNews for papers/tutorials/sources examples. Do you think I can generate terrains like these ones (less or not realistic of course, with more abstract or gaming textures than these realistic ones): https://youtu.be/ceGLEhahLKQ?t=1 ?  
> **username_1**: Generating terrains as in the video you linked may be feasible, but it's certainly not easy. Here's a representative example of something considered quite good: https://www.shadertoy.com/view/4ttSWf  
> **username_0**: OK thank you! Well, I have developed a procedural terrain simulator. When I launch it, I end with a 3D terrain with water, a "plausible terrain". But it's not beautiful: there is no snow, no grass, no trees, no flowers, no... nothing, just the terrain and the water. Di you think it would be feasible to use a deep-learning model "Picture2Picture" in order to add these textures, these things to my 3D virgin terrain image? Are "Picture2Picture" networks easier and faster to train than GAN (less than 1 hour)? Do you know if there is a pre-trained Pic2Pic model that could help me with my 3Dterrain?  
> **username_1**: I have no idea on how to use ML for this task. As for formulating this as an answer - I believe others may have more valuable input on this.  

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## 0 answers

