6 citations · 12 across the 7 of their papers we have counts for
7 papers · 1 filter
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation
Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno-Noguer +1
Aligning multiple modalities in a latent space, such as images and texts, has shown to produce powerful semantic visual representations, fueling tasks like image captioning, text-t…
Purposer: Putting Human Motion Generation in Context
Nicolas Ugrinovic, Thomas Lucas, Fabien Baradel +3
We present a novel method to generate human motion to populate 3D indoor scenes. It can be controlled with various combinations of conditioning signals such as a path in a scene, t…
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos +5
We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos. Our focus lies in capturing coherent spatial placement between pairs of individu…
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields
Jianxiong Shen, Ruijie Ren, Adria Ruiz +1
Current methods based on Neural Radiance Fields (NeRF) significantly lack the capacity to quantify uncertainty in their predictions, particularly on the unseen space including the…
Implicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction
Pol Caselles, Eduard Ramon, Jaime Garcia +2
Recent advancements in learning techniques that employ coordinate-based neural representations have yielded remarkable results in multi-view 3D reconstruction tasks. However, these…
PoseFix: Correcting 3D Human Poses with Natural Language
Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno-Noguer +1
Automatically producing instructions to modify one's posture could open the door to endless applications, such as personalized coaching and in-home physical therapy. Tackling the r…
PoseScript: Linking 3D Human Poses and Natural Language
Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas +2
Natural language plays a critical role in many computer vision applications, such as image captioning, visual question answering, and cross-modal retrieval, to provide fine-grained…