Research map / Video / Video generation
Scaling Autoregressive Video Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Scale the spatiotemporal subscaling model to large size | Video Transformer · BAIR Robot Pushing | bits/dim: 1.53 -> 1.35 | Helped |
| Use spatiotemporal subscaling instead of spatial subscaling (ablation) | Video Transformer · Kinetics | FVD: 263±6 -> 195±7 | Helped |
| Use single-frame generation instead of spatiotemporal subscaling (ablation) | Video Transformer · Kinetics | bits/dim: 1.19 -> 1.14 | Helped |
| Use spatiotemporal subscaling instead of single-frame generation (ablation) | Video Transformer · Kinetics | FVD: 207±8 -> 170±5 | Helped |
| Use spatial subscaling rather than no subscaling (ablation) | Video Transformer · Moving MNIST | Nats/Frame: 86.2 -> 91.8 | Hurt |
| Increase model size from base to large | Video Transformer · Kinetics | FVD: 195±7 -> 170±5 | Helped |
| Increase hidden size (ablation) | Video Transformer · BAIR Robot Pushing validation | bits/dim: 1.65 -> 1.55 -> 1.47 -> 1.40 | Helped |
| Increase the number of layers (ablation) | Video Transformer · BAIR Robot Pushing validation | bits/dim: 1.63 -> 1.55 -> 1.48 -> 1.45 | Helped |
| Increase the number of attention heads (ablation) | Video Transformer · BAIR Robot Pushing validation | bits/dim: 1.59 -> 1.55 -> 1.51 -> 1.47 | Helped |
| Shuffle block-size ordering between layers (ablation) | Video Transformer · BAIR Robot Pushing validation | bits/dim: within 0.01 bits/dim | No clear effect |
| Lower sampling temperature from 1.0 to 0.9 (ablation) | Video Transformer · BAIR Robot Pushing | FVD: 122±4 | Helped |
| Replace discretized one-hot input channels with continuous representations (ablation) | Video Transformer · Video generation | performance and sample quality | Hurt |
Closest papers by meaning
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- From Slow Bidirectional to Fast Autoregressive Video Diffusion Models (CVPR 2025 · similarity 0.88)
- ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model (CVPR 2025 · similarity 0.88)
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