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EvolvingAvatar: Interactive 3D Head Generation That Adapts as Conversations Unfold

Paper recorded by Signals 4 on 2026-09-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29

Category: cs.CV · 计算机视觉 · first seen 2026-09-29

Abstract

Interactive 3D head generation requires coordinated speaking and listening motion that responds to an evolving conversation. Existing generators use incoming observations as context but keep their parameters fixed, leaving conversational patterns unused as a learning signal. We introduce EvolvingAvatar, a causal generator that uses test-time training to adapt to user face video and dyadic audio du

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#15 most recent of 342 cs.CV papers we have recorded · ↑ newer: RT-Super: Learning Tumor Segmentation from Longitudinal Images and Rep · ↓ older: Remote Sensing Sparse-View 3D Gaussian Splatting via Depth Image-Based
Cite this page: EvolvingAvatar: Interactive 3D Head Generation That Adapts as Conversations Unfold: the #15 most recent of 342 cs.CV papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evolvingavatar-interactive-3d-head-generation-that-adapts-as-conversations-unfol.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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