6 papers
CCDF: A Benchmark Dataset for Deepfake Detection in Surveillance Footage
Baptiste Chopin, Thomas Swearingen, Arun Ross +2
Due to rapid advances in Generative AI, commercial video generation tools can be used to produce fabricated surveillance footage that can fool both human viewers and automated synt…
AI killed the video star. Audio-driven diffusion model for expressive talking head generation
Baptiste Chopin, Tashvik Dhamija, Pranav Balaji +2
We propose Dimitra++, a novel framework for audio-driven talking head generation, streamlined to learn lip motion, facial expression, as well as head pose motion. Specifically, we…
Beyond Real versus Fake Towards Intent-Aware Video Analysis
Saurabh Atreya, Nabyl Quignon, Baptiste Chopin +2
The rapid advancement of generative models has led to increasingly realistic deepfake videos, posing significant societal and security risks. While existing detection methods focus…
Do You See What I Say? Generalizable Deepfake Detection based on Visual Speech Recognition
Maheswar Bora, Tashvik Dhamija, Shukesh Reddy +4
Deepfake generation has witnessed remarkable progress, contributing to highly realistic generated images, videos, and audio. While technically intriguing, such progress has raised…
THEval. Evaluation Framework for Talking Head Video Generation
Nabyl Quignon, Baptiste Chopin, Yaohui Wang +1
Video generation has achieved remarkable progress, with generated videos increasingly resembling real ones. However, the rapid advance in generation has outpaced the development of…
Dimitra: Audio-driven Diffusion model for Expressive Talking Head Generation
Baptiste Chopin, Tashvik Dhamija, Pranav Balaji +2
We propose Dimitra, a novel framework for audio-driven talking head generation, streamlined to learn lip motion, facial expression, as well as head pose motion. Specifically, we tr…