Learned Parametric Emotion Editing: Real-Time Affective Filtering for On-Device Social Media Video

arXiv:2609.21624 · cs.CV, cs.HC · Submitted 2026-09-18 · Read on arXiv

cs.CV, cs.HC

Submitted: 2026-09-18

Updated: 2026-09-18

Terminology

• alpha — 31× in this paper · explained in 1 episode
• Adaptation — 20× in this paper · explained in 1 episode
• Ablation — 11× in this paper · explained in 1 episode
• Fidelity — 9× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Circumplex Model of Affect — 2× in this paper
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Automatic Image Transformation for Inducing Affect
• EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
• RILe: Reinforced Imitation Learning
• EmoFeedback$^2$: Reinforcement of Continuous Emotional Image Generation via LVLM-based Reward and Textual Feedback
• Adam: A Method for Stochastic Optimization
• EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation
• MUSE: Manipulating Unified Framework for Synthesizing Emotions in Images via Test-Time Optimization
• ColorEdit: Training-free Image-Guided Color editing with diffusion model
• MooD: Perception-Enhanced Efficient Affective Image Editing via Continuous Valence-Arousal Modeling

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