
Any user can download 3 FREE models in 24h. Extensive experiments on ShapeNet and OmniObject3D (over 200 diverse real-world categories) convincingly demonstrate that a single DiffTF model achieves state-of-the-art large-vocabulary 3D object generation performance with large diversity, rich semantics, and high quality. Most of the 3D Models are distributed as FREE and ready-to-render (with textures). 3) In addition, we devise the 3D-aware encoder/decoder to enhance the generalized 3D knowledge in the encoded triplanes for handling categories with complex appearances. It learns the cross-plane relations across different planes and aggregates the generalized 3D knowledge with specialized 3D features. To extract generalized 3D knowledge from diverse categories, we propose a novel 3D-aware transformer with shared cross-plane attention. 2) To handle the drastic variations in geometry and texture, we regard the features of all 3D objects as a combination of generalized 3D knowledge and specialized 3D features.
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Get to know GrabCAD as an open software platform for Additive Manufacturing. Join the GrabCAD Community today to gain access and download Learn about the GrabCAD Platform. 1) Considering efficiency and robustness, we adopt a revised triplane representation and improve the fitting speed and accuracy. The GrabCAD Library offers millions of free CAD designs, CAD files, and 3D models. Available in many file formats including MAX, OBJ, FBX, 3DS, STL, C4D, BLEND, MA, MB. To this end, we propose a novel triplane-based 3D-aware Diffusion model with TransFormer, DiffTF, for handling challenges via three aspects. Free 3D Rhinoceros models available for download. Notably, there are three major challenges for this large-vocabulary 3D generation: a) the need for expressive yet efficient 3D representation b) large diversity in geometry and texture across categories c) complexity in the appearances of real-world objects. In this paper, we introduce a diffusion-based feed-forward framework for synthesizing massive categories of real-world 3D objects with a single generative model. Despite extensive efforts on 3D generation, most existing works focus on the generation of a single category or a few categories.
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Download a PDF of the paper titled Large-Vocabulary 3D Diffusion Model with Transformer, by Ziang Cao and 4 other authors Download PDF Abstract:Creating diverse and high-quality 3D assets with an automatic generative model is highly desirable. Free 3D Models and Commercial Use 3D Models at great prices.
