arXiv (All)
open access
MEGMAG: Micro-Expression Generation via MAGnification
Facial micro-expressions are subtle, short-lived facial movements that reveal genuine human emotions. Despite the large advances in facial expression synthesis and animation, realistic micro-expressions remain challenging due to scarce annotated data and the extremely subtle nature of their motion.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- FlexAM: Flexible Appearance-Motion Decomposition for Versatile Video Generation Control#617960
- FlexAM: Flexible Appearance-Motion Decomposition for Versatile Video Generation Control#617460
- Xemo-Talker: Unlock Emotions Explicitly for Audio-Driven Talking Portrait Synthesis#609133
- Oracle Complementarity Is Not Realizable Complementarity in Frozen-Encoder Audio-Visual Emotion Recognition#1115720
- PEACE: Joint Embeddings of DSP Effects Code and Audio#1188083
Record · ID 1491535
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive