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RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution

CVPR 2022 · Video › Video segmentation and tracking · approach: Space-time video super-resolution · 108 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a unified transformer with reusable encoder dictionaries queried by decoders instead of separate temporal and spatial modulesRSTT · Vid4FPS: 26.19 vs 15.59 FPS; 4.49 vs 11.10 parameters (Millions)Helped
Add the spatial reconstruction module (ablation)RSTT-M and RSTT-S · Vid4 and Vimeo-90K splitsPSNR: RSTT-M-Recon vs RSTT-M: 26.37 vs 26.37 on Vid4; 36.80 vs 36.78 on Vimeo-Fast; 35.66 vs 35.62 on Vimeo-Medium; 33.58 vs 3No clear effect
Add the spatial reconstruction module (ablation)RSTT-M and RSTT-S · Vid4 and Vimeo-90K splitsFPS: 17.02 vs 19.07; 22.62 vs 26.19Hurt
Replace multi-head cross attention with concatenation (ablation)RSTT-S decoder · Vid4, Vimeo-Fast, Vimeo-Medium, and Vimeo-SlowPSNR: 26.29 -> 26.18; 36.58 -> 36.29; 35.43 -> 35.20; 33.30 -> 33.15Hurt
Replace multi-head cross attention with addition (ablation)RSTT-S decoder · Vid4, Vimeo-Fast, Vimeo-Medium, and Vimeo-SlowPSNR: 26.29 -> 26.13; 36.58 -> 36.25; 35.43 -> 35.15; 33.30 -> 33.07Hurt

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