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- Hierarchical Text-Conditional Image Generation with CLIP Latents
To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image conditioned on the image embedding
- Hierarchical Text-Conditional Image Generation with CLIP Latents
This work proposes a compositional approach for text-to-image generation based on two stages that can improve image generation, resulting in a notable improvement in FID score and a comparable CLIP score, when compared to the standard non-compositional baseline
- Hierarchical Text-Conditional Image Generation with CLIP Latents
To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an
- Hierarchical Text-Conditional Image Generation with CLIP Latents
This paper presents a novel two-stage model leveraging CLIP embeddings and diffusion priors to generate diverse, high-fidelity images from text with effective semantic control
- arXiv:2204. 06125v1 [cs. CV] 13 Apr 2022 - 3DVAR
Abstract that capture both semantics and style To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an im
- Hierarchical Text-Conditional Image Generation with CLIP Latents
Below the dotted line, we depict our text-to-image generation process: a CLIP text embedding is first fed to an autoregressive or diffusion prior to produce an image embedding, and then this embedding is used to condition a diffusion decoder which produces a final image
- Hierarchical Text-Conditional Image Generation with CLIP Latents
How use CLIP more effectively to improve generations? “A motorcycle parked in a parking space next to another motorcycle ” CLIP Text Encoder
- Hierarchical Text-Conditional Image Generation with CLIP Latents
Can you suggest how to extend unCLIP for text-guided video generation with temporal consistency?
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