Game Playing Agents Diffusion Models

There are 8 game playing agents models tracked. The highest-rated is InhwanBae/Crowd-Behavior-Generation at 39/100 with 44 stars.

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# Model Score Tier
1 InhwanBae/Crowd-Behavior-Generation

Official Code for "Continuous Locomotive Crowd Behavior Generation (CVPR 2025)"

39
Emerging
2 InhwanBae/SingularTrajectory

Official Code for "SingularTrajectory: Universal Trajectory Predictor using...

32
Emerging
3 XinGP/DGFNet

[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature...

31
Emerging
4 DSL-Lab/MoFlow

[CVPR 2025] MoFlow: One-Step Flow Matching for Human Trajectory Forecasting...

31
Emerging
5 qiyan98/social-nce-stgcnn

[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning...

30
Emerging
6 InhwanBae/GraphTERN

Official Code for "A Set of Control Points Conditioned Pedestrian Trajectory...

28
Experimental
7 InhwanBae/DMRGCN

Official Code for "Disentangled Multi-Relational Graph Convolutional Network...

27
Experimental
8 tr3e/InterGen

[IJCV 2024] InterGen: Diffusion-based Multi-human Motion Generation under...

25
Experimental