Pixel conditioning enables stable, low-latency streaming head-avatar reenactment

PixReenact transfers motion directly from driving pixels while using causal diffusion to generate an avatar continuously.

Big Tech
Gavriel Habib · Dvir Samuel · Or Shimshi · Rami Ben-Ari

OriginAI · NVIDIA

Research Digest··2 min read
Habib et al.

The authors adapted a compact video-diffusion backbone for causal, autoregressive generation, meaning each output is produced from earlier states rather than by denoising a complete video clip.

Why this paper

From NVIDIA and OriginAI

In one line

PixReenact uses causal, pixel-conditioned video diffusion to stream identity-stable head-avatar reenactment, emitting four frames per update at 239 ms mean latency.

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Research Digest

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