AI Paper Atlas

Research map / Video / Video segmentation and tracking

Physics-inspired motion prediction

Learns interaction dynamics and motion simulators from video for future motion forecasting.

113 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Video segmentation and tracking, keyword cluster “prediction · person · pose”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

22 papers in 2023–24 and 36 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 5.0% to 6.7%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 2162017: 6172018: 10182019: 7192020: 6202021: 12212022: 12222023: 8232024: 14242025: 21252026: 1526

Most cited paper of each year

Earliest papers here

What has been tried

93 papers here report 913 measured changes (a component added, removed or swapped, compared with a baseline): helped 74%, no clear effect 4%, hurt 19%, mixed 3%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add layout conditionnuScenes val multiview video generation · FID18.9 -> 15.8HelpedDriving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving (CVPR 2024 · 104 citations)
Add PSMXia dataset · CC37.4 -> 19.7HelpedMoST: Motion Style Transformer Between Diverse Action Contents (CVPR 2024 · 21 citations)
Add traffic-state dynamics modelingXi'an MSTSP and TTE · performanceHelpedBridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning (AAAI 2025 · 17 citations)
replace separate modeling with Causal Interactive InjectionInterHuman · R-Precision Top 10.371±.010 -> 0.491±.005HelpedTIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation (CVPR 2025 · 10 citations)
Add Cross-Attention Prototyping to BaseSintel flow ablation · Clean EPE0.55 -> 0.51HelpedPrototypical Transformer As Unified Motion Learners (ICML 2024 · 8 citations)
remove decoder cross-attention to context frames for future-frame reconstructioncontext-dynamics decoupling visualization · context reconstructionHurtiVideoGPT: Interactive VideoGPTs are Scalable World Models (NeurIPS 2024 · 8 citations)
Use progressive sampling rather than small-range samplingMinecraft · PSNR19.23 -> 23.98HelpedWorldMem: Long-term Consistent World Simulation with Memory (NeurIPS 2025 · 7 citations)
Add Symplectic Temporal Aggregation (STA)Human3.6M Eating, 1,000 ms · MPJPE65.1 -> 52.2HelpedRethinking Human Motion Prediction with Symplectic Integral (CVPR 2024 · 5 citations)
Add the proposed clustering approach to DMoN3ET+ · p10+14%HelpedEyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking (NeurIPS 2024 · 5 citations)
Add batch slot-slot contrast to feature reconstructionMOVi-C · FG-ARI49.7 -> 69.3HelpedTemporally Consistent Object-Centric Learning by Contrasting Slots (CVPR 2025 · 4 citations)
Add HVM and HIM-TRNH3.6M · MPJPE16.8 -> 7.8; 121.9 -> 94.1HelpedHVIS: A Human-like Vision and Inference System for Human Motion Prediction (AAAI 2025 · 3 citations)
add multi-source input rather than use only radarSEVIR, 12 →36 frames · mCSI0.2377 -> 0.2562HelpedIntegrating Multi-Source Data for Long Sequence Precipitation Forecasting (AAAI 2025 · 3 citations)

What reviewers will expect

Datasets and baselines named in the 25 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • DAVIS-2017 · 2 of 25 papers

Baselines

  • STEVE · 2 of 25 papers

Recent preprints

Loading recent arXiv preprints…

    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 58 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 39 key papersOpen the topic in the interactive map

    Get alerts. Describe your idea in scime atlas and save it (free scime account): you get a weekly email when new preprints land close to it.

    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

    Get the next scime Dispatch and a monthly field update

    Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy