FrameCache uses a Screen-Cache-Match strategy and Trajectory-Aware Autoregressive Generation to convert past frames into causal guidance for temporally coherent human animation videos.
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2 Pith papers cite this work. Polarity classification is still indexing.
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FLARE-BO uses Bayesian optimization over an eight-parameter space to fuse luminance and adaptive Retinex techniques, reporting marked improvements on the LOL low-light dataset compared to untrained baselines.
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Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation
FrameCache uses a Screen-Cache-Match strategy and Trajectory-Aware Autoregressive Generation to convert past frames into causal guidance for temporally coherent human animation videos.
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FLARE-BO: Fused Luminance and Adaptive Retinex Enhancement via Bayesian Optimisation for Low-Light Robotic Vision
FLARE-BO uses Bayesian optimization over an eight-parameter space to fuse luminance and adaptive Retinex techniques, reporting marked improvements on the LOL low-light dataset compared to untrained baselines.