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TaoMate-HD: Progressive-Resolution Autoregressive Audio-Video Generation

Paper recorded by Signals 4 on 2026-11-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.CV · 计算机视觉 · first seen 2026-11-03

Abstract

Streaming digital humans produce detailed video while continuing speech as new text arrives. High-resolution denoising is costly, and text updates can cause repeated or interrupted speech. We present TaoMate-HD, an autoregressive model for high-resolution audio-video streaming. For each short segment, or chunk, two denoising steps establish coarse video structure at low resolution. A final step re

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#32 most recent of 710 cs.CV papers we have recorded · ↑ newer: Image Guided Depth Upsampling using Anisotropic Total Generalized Vari · ↓ older: TaoMate-FVSR:Audio-Guided Facial Video Restoration
Cite this page: TaoMate-HD: Progressive-Resolution Autoregressive Audio-Video Generation: the #32 most recent of 710 cs.CV papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/taomate-hd-progressive-resolution-autoregressive-audio-video-generation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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