Rasterized Edge Gradients: Handling Discontinuities Differentiably Computer Vision News Computer Vision News 2 ECCV Best Paper Hon. Mention Rasterization is a commonly used method for rendering meshes. Despite advancements in techniques like NeRF and Gaussian splatting, meshes remain popular in computer graphics due to their high degree of hardware optimization and explicit parameterization. Meshes are easier to control and manipulate for tasks such as tracking and offer a more structured and user-friendly approach than representations like point clouds from Gaussian splatting, especially in real-time applications. Stanislav Pidhorskyi is a Research Scientist at Meta. Originally from Kharkiv, a city in the East of Ukraine that has been under attack since the Russian invasion in February 2022, Stan speaks to us after winning a Best Paper Honorable Mention award at ECCV 2024 for his work on making rasterization differentiable. Congrats, Stan! Russian Invasion of Ukraine The major conference in our field – CVPR - adopted a motion with a very large majority, condemning in the strongest possible terms the actions of the Russian Federation government in invading the sovereign state of Ukraine. We decided to host a Ukraine Corner also here.
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