Evidence record 18328 · automatically gathered

MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling

Video super-resolution (VSR) aims to recover high-fidelity high-resolution videos from low-resolution inputs and is central to applications ranging from mobile capture to streaming and archival restoration. Existing approaches trade off among local-detail fidelity, long-range spatio-temporal modeling, perceptual realism, and efficiency: convolutional alignment techniques preserve local structure but suffer when motion is large or degradations are complex; transformer-based methods capture long-r

Record details

Published: 9 August 2026
Source: arXiv cs.LG
Category: Research
Topics: Safety & alignment
Retrieved: 11 August 2026

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ethics.ai (9 August 2026), “MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling,” evidence record 18328, https://ethics.ai/record/18328 (originally published by arXiv cs.LG).

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