Avatar X is pitched as capturing the micro-expressions that make avatars feel alive
mhdfaran · x · 2026-07-29
This post argues that the real test for AI avatars is everything between the words: laughing, yawning, crying, eyebrow raises, eye movements, and tiny facial reactions.
It says Avatar X captures those micro-expressions instead of treating every sound like plain speech, positioning the model as more expressive than basic lip-sync systems. The emphasis is on preserving small human cues that make avatars feel alive rather than mechanically animated.
Related event: Mirage Launches Avatar X: High-Fidelity Digital Twin from 10-Second Video(14 posts)→
More from Multimodal
- MOSS-Image base model showcase: cfg4, 39 steps, ~1.5MP renders — COMPLOGICGADH · 2026-10-17
- MOSS image model 4K test: 55s per frame on RTX 5090, 19.5GB peak VRAM — RauschCraft · 2026-10-17
- Fizgig LoRA Isolation: 0/50 face bleed-through vs 48/50, likeness kept — shootthesound · 2026-10-17
- MiniCPM-V 4.7 runs a 35B multimodal model in 3GB of memory, fully on-device — alifcoder · 2026-10-17
- Open-source .char format now supports up to 4 consistent characters per generation — ashishsanu · 2026-10-17
- AI-Generated Short Film 'The Biscuit Story' Delivers Cinematic Winter Visuals — SightsFilms · 2026-10-17