he/him
Then, in the bijective and injective cases, we exploit this extreme sparsity to efficiently merge two assignments using very simple discrete optimization.
Then, in the bijective and injective cases, we exploit this extreme sparsity to efficiently merge two assignments using very simple discrete optimization.
Our pipeline is simple: we use BSP (Binary Space Partitioning) matchings to efficiently generate random bijections before merging them into a single one of low transport cost.
Our pipeline is simple: we use BSP (Binary Space Partitioning) matchings to efficiently generate random bijections before merging them into a single one of low transport cost.
In our SIGGRAPH Asia 2025 paper: “BSP-OT: Sparse transport plans between discrete measures in log-linear time” we get one with typically 1% of error in a few seconds on CPU!
In our SIGGRAPH Asia 2025 paper: “BSP-OT: Sparse transport plans between discrete measures in log-linear time” we get one with typically 1% of error in a few seconds on CPU!
You also can use it with shell maps to define a 3D coordinate system from the 2D ones, and more!
You also can use it with shell maps to define a 3D coordinate system from the 2D ones, and more!
It allows you to get full control over the appearance of the shape, with textures, without losing the benefits of implicit representations!
It allows you to get full control over the appearance of the shape, with textures, without losing the benefits of implicit representations!
That's why I'm really proud to annonce our Eurographics 2025 paper: "Implicit UVs: Real-time semi-global parameterization of implicit surfaces".
That's why I'm really proud to annonce our Eurographics 2025 paper: "Implicit UVs: Real-time semi-global parameterization of implicit surfaces".