Research map / 3D vision / 3D generation
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use Multiverse instead of the strongest listed baseline | Forking Paths evaluation · Forking Paths 45-degree and top-down views | minADE20: 186.6 { $\pm$2.7} -> 168.9 { $\pm$2.1}; 166.9 { $\pm$2.2} -> 157.7 { $\pm$2.5} | Helped |
| use Multiverse instead of the strongest listed baseline | Forking Paths evaluation · Forking Paths 45-degree and top-down views | minFDE20: 342.1 { $\pm$10.2} -> 333.8 { $\pm$3.7}; 326.6 { $\pm$5.0} -> 316.5 { $\pm$3.4} | Helped |
| use Multiverse | Forking Paths evaluation · Forking Paths, Tpred=1 to Tpred=3 | NLL: Next: 8.32 { $\pm$0.10}, 14.98 { $\pm$0.19}, 22.71 { $\pm$0.11}; Ours: 2.22 { $\pm$0.54}, 4.46 { $\pm$1.33}, 8.14 { $\pm | Helped |
| use Multiverse instead of Next | VIRAT/ActEV · VIRAT/ActEV, trained on real | FDE: 42.43 -> 35.84 | Helped |
| use Multiverse instead of Next | VIRAT/ActEV · VIRAT/ActEV, trained on simulation | FDE: 62.11 -> 43.35 | Helped |
| add a spatial graph with graph attention (ablation) | Multiverse · VIRAT/ActEV, single-future | ADE: 28.68 -> 18.51 | Helped |
| add a spatial graph with graph attention (ablation) | Multiverse · Forking Paths, multi-future | minADE20: 184.5 -> 166.1 | Helped |
| add the fine location decoder (ablation) | Multiverse · VIRAT/ActEV, single-future | ADE: 53.62 -> 18.51 | Helped |
| add the fine location decoder (ablation) | Multiverse · Forking Paths, multi-future | minADE20: 232.1 -> 166.1 | Helped |
| use multiple grid scales instead of only the fine scale (ablation) | Multiverse · VIRAT/ActEV, single-future | ADE: 21.09 -> 18.51 | Helped |
| use multiple grid scales instead of only the fine scale (ablation) | Multiverse · Forking Paths, multi-future | minADE20: 171.0 -> 166.1 | Helped |
Closest papers by meaning
- TITAN: Future Forecast Using Action Priors (CVPR 2020 · similarity 0.88)
- Forecasting Human Trajectory from Scene History (NeurIPS 2022 · similarity 0.87)
- Peeking Into the Future: Predicting Future Person Activities and Locations in Videos (CVPR 2019 · similarity 0.87)
- GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes (CVPR 2024 · similarity 0.86)
- MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction (NeurIPS 2026 · similarity 0.85)
- MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation (CVPR 2025 · similarity 0.85)
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