ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video

Egocentric devices, such as wearable front-facing cameras, provide a unique perspective for capturing the continuous interaction between a human viewer and the surrounding environment. A holistic and efficient multimodal model capable of reconstructing this 4D representation is therefore highly desirable. However, existing approaches often rely on auxiliary inputs such as pre-computed camera trajectories, treat scene perception and human ego-motion modeling as separate problems despite their str

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ethics.ai (19 July 2026), “ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video,” evidence record 12307, https://ethics.ai/record/12307 (originally published by HuggingFace Daily Papers).

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