Full Papers
Up to 8 pages (excluding references), no appendix or supplementary material in the main PDF; included in official CVPR proceedings; scope: full research contributions.
Computer Vision/CORE Unranked
CVPR 2026
CVPR 2026 Workshop on Video Generative Models: Benchmarks and Evaluation
The VGBE workshop at CVPR 2026 focuses on advancing the evaluation and benchmarking of video generative models, addressing critical gaps in current metrics that overlook physical plausibility, temporal coherence, and human perception. It aims to establish standardized, fine-grained, and explainable benchmarks to accelerate the reliable deployment of video generation technologies in real-world applications.
Key deadlines
Verified September 9, 2026Full paper
March 13, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
March 13, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Up to 4 pages (excluding references), no appendix or supplementary material in the main PDF; not included in official proceedings (archived on website); scope: work-in-progress and preliminary results.
Research areas in scope
01
Metrics and Evaluation Methods
Spatiotemporal & Causal Integrity: Quantifying motion realism, object permanence, and causal logic consistency over time.Perceptual Quality Assessment: Learning-based metrics for detecting visual artifacts, hallucinations, and alignment with human subjectivity.Explainable Automated Judges: Leveraging Multimodal LLMs (VLMs) for scalable, fine-grained, and interpretable critique.Instruction Adherence Metrics: Rigorous evaluation of prompt fidelity, spatial conditioning, and complex constraint satisfaction.
02
Datasets and Benchmarks
Narrative & Multi-Shot Suites: Curated datasets assessing character persistence, scene transitions, and long-horizon consistency.Physics-Grounded Challenge Sets: Scenarios isolating fluid dynamics, collisions, and kinematic anomalies to stress-test "World Simulators."Human Preference Data: Large-scale, fine-grained annotations capturing multi-dimensional judgments (e.g., aesthetics vs. realism).Standardized Protocols: Unified data splits and reproducible frameworks to ensure transparent and comparable benchmarking.
03
Applications and Domains
Domain Adaptation & Personalization: Efficient fine-tuning and Low-Rank Adaptation (LoRA) strategies for specialized verticals (e.g., medical, cinematic).Simulation for Embodied AI: Leveraging video generative models as world simulators for robotics perception, planning, and Sim2Real transfer.Interactive & Human-in-the-Loop: User-centric frameworks incorporating iterative feedback for creative workflows and gaming.Immersive 4D Generation: Lifting video diffusion priors to synthesize spatially consistent scenes and dynamic assets for AR/VR environments.Deployment Efficiency: Optimizing inference latency, memory footprint, and cost for scalable industrial applications.
Policies worth checking twice
- Submissions must follow the CVPR 2026 author guidelines.
- No appendix or supplementary material allowed in the main PDF for either full or short papers.
- Submissions are made via OpenReview.
- Full papers are included in official CVPR proceedings; short papers are archived on the workshop website only.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026