9 papers
NGL: Natural Garment Language for Training-Free Sewing Pattern Estimation
Anna Badalyan, Pratheba Selvaraju, Giorgio Becherini +3
Estimating sewing patterns from images is a practical approach for creating high-quality 3D garments, but it remains challenging due to the scarcity of paired real-world image and…
MAMMA: Markerless & Automatic Multi-Person Motion Action Capture
Hanz Cuevas-Velasquez, Anastasios Yiannakidis, Soyong Shin +7
We present MAMMA, a markerless motion-capture pipeline that accurately recovers SMPL-X parameters from multi-view video of two-person interaction sequences. Traditional motion-capt…
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
Kiran Chhatre, Radek DanÄÄek, Nikos Athanasiou +4
Existing methods for synthesizing 3D human gestures from speech have shown promising results, but they do not explicitly model the impact of emotions on the generated gestures. Ins…
CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild
Balamurugan Thambiraja, Omid Taheri, Radek Danecek +3
Hands play a central role in daily life, yet modeling natural hand motions remains underexplored. Existing methods that tackle text-to-hand-motion generation or hand animation capt…
NeuralFur: Animal Fur Reconstruction From Multi-View Images
Vanessa Sklyarova, Berna Kabadayi, Anastasios Yiannakidis +3
Reconstructing realistic animal fur geometry from images is a challenging task due to the fine-scale details, self-occlusion, and view-dependent appearance of fur. In contrast to h…
BEDLAM2.0: Synthetic Humans and Cameras in Motion
Joachim Tesch, Giorgio Becherini, Prerana Achar +4
Inferring 3D human motion from video remains a challenging problem with many applications. While traditional methods estimate the human in image coordinates, many applications requ…