Explore >> Select a destination
|
You are here 
|
www.matthewtancik.com | ||
| | | | |
thenumb.at
|
|
| | | | | [AI summary] This technical post explains how neural networks are used as primitives to represent complex computer graphics data like images, geometry, and light fields through various activation functions and input encodings. | |
| | | | |
peizhuoli.github.io
|
|
| | | | | We present GANimator, a generative model that learns to synthesize novel motions from a single, short motion sequence. GANimator generates motions that resemble the core elements of the original motion, while simultaneously synthesizing novel and diverse movements. It also enables applications including crowd simulation, key-frame editing, style transfer, and interactive control for a variety of skeletal structures e.g., bipeds, quadropeds, hexapeds, and more, all from a single input sequence. | |
| | | | |
grail.cs.washington.edu
|
|
| | | | | [AI summary] The post describes a computational photography system that automatically generates multi-viewpoint panoramas of long, planar scenes from sparse handheld images. | |
| | | | |
jan.schnasse.org
|
|
| | | [AI summary] The content discusses website cookies, user consent for analytics and advertising, and privacy policies. | ||
