collaborators

5 papers

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…