A self-supervised diffusion framework with a low-bitrate vector-quantization bottleneck learns disentangled motion and content latents supporting motion transfer and auto-regressive generation.
Hybrid spatial-temporal en- tropy modelling for neural video compression
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Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video
A self-supervised diffusion framework with a low-bitrate vector-quantization bottleneck learns disentangled motion and content latents supporting motion transfer and auto-regressive generation.