arXiv AI
Aug 21
Regressor-Guided Image Editing Shifts Emotion and Disengagement Timing in Social Media
arXiv:2501. 12289v3 Announce Type: replace-cross Abstract: Internet overuse is a widespread phenomenon in today's digital society.
Learned Parametric Emotion Editing: Real-Time Affective Filtering for On-Device Social Media Video
The paper presents a real‑time on‑device system for editing the emotional intensity of visual content. Using a MobileNetV4 backbone with FiLM‑based conditioning, the model predicts parameters for differentiable global transformations in a single 3.7 ms forward pass, replacing 80‑second per‑image optimization. A user study with 54 participants showed reduced viewer arousal and higher perceived quality compared to a grayscale filter, and the system runs at 60 fps on a Samsung Galaxy S23.
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Hugging Face Trending Papers
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arXiv Computer Vision
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AffectDelta: Beyond Emotion Labels for Image Editing
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arXiv Computer Vision
Sep 3
Video2Reaction: Training Foundation Video Models to Predict Audience Reaction
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arXiv Computer Vision
Aug 28
EditaLive! Unified Character Video Editing for Live Streaming
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arXiv Machine Learning
Jul 9
Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild
arXiv:2607. 06875v1 Announce Type: cross Abstract: Understanding and forecasting audience reactions to video content are crucial for improving content creation, recommendation systems, and media analysis.
arXiv Computer Vision
Sep 22
Streaming Video Editing with Easy Adaptation
arXiv:2609.24788v1 Announce Type: new Abstract: In this paper, we propose SVEET, a framework that requires merely training on a pretrained bidirectional video diffusion model but supports high-qualit...
arXiv AI
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CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
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arXiv AI
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Hugging Face Trending Papers
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arXiv Computer Vision
Sep 10
SloMoDeblur: A Large-Scale Smartphone Image Deblurring Dataset
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