Comments
Ingeniousskull t1_j4bxzmh wrote
Dude looks like he's trying to get away from the flying furniture.
derpderp3200 t1_j4fa4wp wrote
Love how natural and human those movements seem.
Emphasises_Words t1_j4fd7k6 wrote
The movements are motion capture, not generated. They are performed by a real human.
derpderp3200 t1_j4fhekc wrote
I know, but the jitter combined with the colorless subsurface-scattered model make this look like straight up David Lewandowski videos
blimpyway t1_j4hbgtt wrote
> David Lewandowski videos It looks like they search for some furniture
derpderp3200 t1_j4he7pe wrote
Dear god how I'd love to see that ran through the SUMMON code. What eldritch furnishings are they walking over? Stumbling upon??
[deleted] t1_j4he8ri wrote
[removed]
t0ns0fph0t0ns OP t1_j4bi5wa wrote
>Scene Synthesis from Human Motion
>
>Large-scale capture of human motion with diverse, complex scenes, while immensely useful, is often considered prohibitively costly. Meanwhile, human motion alone contains rich information about the scene they reside in and interact with. For example, a sitting human suggests the existence of a chair, and their leg position further implies the chair’s pose. In this paper, we propose to synthesize diverse, semantically reasonable, and physically plausible scenes based on human motion. Our framework, Scene Synthesis from HUMan MotiON (SUMMON), includes two steps. It first uses ContactFormer, our newly introduced contact predictor, to obtain temporally consistent contact labels from human motion. Based on these predictions, SUMMON then chooses interacting objects and optimizes physical plausibility losses; it further populates the scene with objects that do not interact with humans. Experimental results demonstrate that SUMMON synthesizes feasible, plausible, and diverse scenes and has the potential to generate extensive human-scene interaction data for the community. https://lijiaman.github.io/projects/summon/