1 citations · 1 across the 8 of their papers we have counts for
8 papers
TAKE 85: Testing Audiovisual filmmaKer's intEnt across 85 Hours of Film
Kaishuu Shinozaki-Conefrey, Olivier Pascaud, Robin Courant +3
Films communicate through deliberate creative choices, including lighting, color, composition, editing, dialogue, music, and sound. Humans naturally interpret these signals as dire…
Pulp Motion: Framing-aware multimodal camera and human motion generation
Robin Courant, Xi Wang, David Loiseaux +2
Treating human motion and camera trajectory generation separately overlooks a core principle of cinematography: the tight interplay between actor performance and camera work in the…
AKiRa: Augmentation Kit on Rays for optical video generation
Xi Wang, Robin Courant, Marc Christie +1
Recent advances in text-conditioned video diffusion have greatly improved video quality. However, these methods offer limited or sometimes no control to users on camera aspects, in…
E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation with character awareness
Robin Courant, Nicolas Dufour, Xi Wang +2
Stories and emotions in movies emerge through the effect of well-thought-out directing decisions, in particular camera placement and movement over time. Crafting compelling camera…
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
Zhi-Song Liu, Robin Courant, Vicky Kalogeiton
Automatically understanding funny moments (i.e., the moments that make people laugh) when watching comedy is challenging, as they relate to various features, such as body language,…
BluNF: Blueprint Neural Field
Robin Courant, Xi Wang, Marc Christie +1
Neural Radiance Fields (NeRFs) have revolutionized scene novel view synthesis, offering visually realistic, precise, and robust implicit reconstructions. While recent approaches en…
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
Xi Wang, Robin Courant, Jinglei Shi +2
This paper presents JAWS, an optimization-driven approach that achieves the robust transfer of visual cinematic features from a reference in-the-wild video clip to a newly generate…
Machine Learning for Brain Disorders: Transformers and Visual Transformers
Robin Courant, Maika Edberg, Nicolas Dufour +1
Transformers were initially introduced for natural language processing (NLP) tasks, but fast they were adopted by most deep learning fields, including computer vision. They measure…