6 open-source projects similar to athn-nik/sinc, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
TEACH: Temporal Action Compositions for 3D Humans Nikos Athanasiou · Mathis Petrovich · Michael J. Black · Gül Varol 3DV 2022
This is a PyTorch deep learning framework and tool for human motion synthesis that generates 3D character animations from text prompts or action descriptions. It functions as a text-to-motion generator that converts natural language and categorical labels into temporally consistent 3D skeletal movement sequences. The system utilizes a transformer-based diffusion model to iteratively denoise motion data. It includes capabilities for action-conditioned generation, monocular-to-3D motion lifting, and motion sequence editing using text constraints. The framework incorporates geometric motion con
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space".
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral).
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model