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Toaddress this,we introduce anovelfairrecommendation framework,Problem(FAIR),thatflexibly balances multi-stakeholder interests via a constrained optimization formulation.

F .1 Why is There A Sample Imbalance Between Underwater and Open-air Objects?

Image classifiers are information-discarding machines, by design.

A batch size of 2048 is used during training with a learning rate of 1e-4. Both training and rendering were conducted using A WS. A.2 PixelNeRF We used a constant learning rate of 1e-4. To train PixelNeRF on Objaverse-XL we render the meshes in Blender. Each model is normalize to a bounding cube. We believe that models such as Zero123-XL, and those trained on Objaverse-XL, will enhance the ease of 3D content creation, enabling broader accessibility for individuals and businesses to participate.

In the U.S. historically, local newspapers drew their content largely from newswires