Making computer animation more agile, acrobatic — and realistic

Berkeley researchers led by EECS grad student Xue Bin “Jason” Peng have made a major advance in realistic computer animation, using deep reinforcement learning to create a virtual stuntman that mimics natural motions, even for acrobatic feats .


Topics: EECS, Computing, Devices & inventions, Students