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Train your avatars to interact with 3D scenes. We use adversarial imitation learning and reinforcement learning to train physically-simulated characters that perform scene interaction tasks in a natural and life-like manner. Today at #SIGGRAPH2023.

Michael Black

99,718 subscribers

46,237 Aufrufe • vor 2 Jahren •via X (Twitter)

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7 Kommentare

Profilbild von Michael Black

Michael Blackvor 2 Jahren

We learn scene interaction behaviors from large unstructured motion datasets using an adversarial discriminator, without manual annotation of the mocap. The key novelty involves conditioning both the discriminator and the policy networks on scene context.

Profilbild von Michael Black

Michael Blackvor 2 Jahren

Our policies learn to seamlessly transition between different behaviors like idling, walking, and sitting. By randomizing the properties of the objects and their placements during training, our method generalizes beyond the objects and scenarios depicted in the training data.

Profilbild von Michael Black

Michael Blackvor 2 Jahren

Great @MPI_IS and @nvidia collaboration with @M_E_Hassan, Yunrong Guo, @TingwuWang, @FidlerSanja, @xbpeng4. PDF: Project: Video:

Profilbild von Tom Goldstein

Tom Goldsteinvor 2 Jahren

Hate to be picky but pretty sure that last yellow block to the groin is not handled in a “life-like” manner.

Profilbild von pieter ter doest

pieter ter doestvor 2 Jahren

wow

Profilbild von Mickel Liu

Mickel Liuvor 2 Jahren

This might just be the cruelest humanoid demo that I have ever seen 😂 jk

Profilbild von AllThingsAI

AllThingsAIvor 2 Jahren

This could easily be the most adorable humanoid demonstration I've come across.

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