53 citations · 207 across the 11 of their papers we have counts for
5 papers · 1 filter
DELTAv2: Accelerating Dense 3D Tracking
Tuan Duc Ngo, Ashkan Mirzaei, Guocheng Qian +5
We propose a novel algorithm for accelerating dense long-term 3D point tracking in videos. Through analysis of existing state-of-the-art methods, we identify two major computationa…
GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes
Pradyumn Goyal, Dmitry Petrov, Sheldon Andrews +3
We present GEOPARD, a transformer-based architecture for predicting articulation from a single static snapshot of a 3D shape. The key idea of our method is a pretraining strategy t…
SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials
Junyi Cao, Evangelos Kalogerakis
We present SOPHY, a generative model for 3D physics-aware shape synthesis. Unlike existing 3D generative models that focus solely on static geometry or 4D models that produce physi…
Mean-Shift Distillation for Diffusion Mode Seeking
Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev +5
We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution. This is deri…
Im2SurfTex: Surface Texture Generation via Neural Backprojection of Multi-View Images
Yiangos Georgiou, Marios Loizou, Melinos Averkiou +1
We present Im2SurfTex, a method that generates textures for input 3D shapes by learning to aggregate multi-view image outputs produced by 2D image diffusion models onto the shapes'…