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EasyMocap is an open-source toolbox built by Zhejiang University that enables 3D human pose estimation from regular RGB videos, used by research projects like HumanNeRF, but with licensing considerations due to SMPL body models.
Proposes StudioRecon, a method for 4D human-scene reconstruction from low-overlap camera captures, using separate priors for backgrounds (video diffusion) and humans (SMPL), with a recursive enhancement module. Accepted to SIGGRAPH 2026, outperforming prior methods by +1.5 to +5.0 dB PSNR.
PoseShield introduces neural collision constraints in SMPL pose space to resolve self-collisions in human pose estimation, achieving a 95.8% success rate on a new benchmark.