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MatAnyone-E: Real-Time 4K Video Matting

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MatAnyone-E uses a low-resolution pass to find hard regions such as hair, then runs sparse high-resolution matching and a lightweight decoder; at 4K it reports a 7.4x speedup, 7.6% of prior peak GPU memory, and 28.6 FPS on one H200.

Video Matting High-Resolution Video Sparse Memory Propagation Lightweight Decoder MatAnyone-E Nanyang Technological University S-Lab Video Processing

Category: video-generation

Author: @Gorden_Sun

Date: 2026-11-08T00:00:00

Duration: 58.176s

Source: https://x.com/Gorden_Sun/status/2119390142960193998?a=4epAj3zKJ3RA_CY8yCM&s=19

Reference: https://shuyun-wang.github.io/projects/MatAnyone-E/

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