Our tool supports constrained modeling, allowing users to restrict or steer the model evolution with functionality labels.
We present a generative model to synthesize 3D shapes as sets of handles -- lightweight proxies that approximate the original 3D shape -- for applications in interactive editing, shape parsing, and building compact 3D representations.
We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators.
Discovering 3D arrangements of objects from single indoor images is important given its many applications including interior design, content creation, etc.
In this work, we investigate the problem of automatically inferring the lattice structure of near-regular textures (NRT) in real-world images.