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We present a technique for zero-shot generation of a 3D model using only a target text prompt.
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LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Learning transferable visual models from natural language supervision. In International Conference on Machine Learning . PMLR, 8748–8763
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AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu. 2022 · 2022
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Hierarchical Text-Conditional Image Generation with CLIP Latents
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StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 2085–2094
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021 · 2094
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