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Keyword

Stable Diffusion

Description: Stable Diffusion is a generative machine-learning model that creates images from text prompts and other inputs using a diffusion process.
Wikidata ID: wiki/Q113660857
OpenAlex ID: keywords/stable-diffusion
Adding Conditional Control to Text-to-Image Diffusion Models
2023 · Lvmin Zhang, Anyi Rao, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 4,509
InstructPix2Pix: Learning to Follow Image Editing Instructions
2023 · Tim Brooks, Aleksander Holynski, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,460
LAION-5B: An open large-scale dataset for training next generation image-text models
2022 · Schuhmann, Christoph, Beaumont, Romain, et al. · arXiv (Cornell University) · 1,022
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Null-text Inversion for Editing Real Images using Guided Diffusion Models
2023 · Ron Mokady, Amir Hertz, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 725
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Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
2023 · Andreas Blattmann, Robin Rombach, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 720
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Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
2023 · Hila Chefer, Yuval Alaluf, et al. · ACM Transactions on Graphics · 458
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Generative artificial intelligence, human creativity, and art
2024 · Eric Zhou, Dokyun Lee · PNAS Nexus · 453
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SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
2023 · Podell, Dustin, English, Zion, et al. · arXiv (Cornell University) · 452
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Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
2024 · Bingxin Ke, Anton Obukhov, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 425
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Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
2023 · Levon Khachatryan, Andranik Movsisyan, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 388
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
2024 · Staphord Bengesi, Hoda El-Sayed, et al. · IEEE Access · 371
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
2023 · Haochen Wang, Xiaodan Du, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 343
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High-resolution image reconstruction with latent diffusion models from human brain activity
2023 · Yu Takagi, Shinji Nishimoto · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 309
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Proceedings of the 32nd ACM International Conference on Multimedia
2024 · Pan, Qihe, Zhao, Zhen, et al. · 288
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Agent Attention: On the Integration of Softmax and Linear Attention
2024 · Dongchen Han, Tianzhu Ye, et al. · Lecture notes in computer science · 246
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ChatGPT is not all you need. A State of the Art Review of large Generative AI models
2023 · Gozalo-Brizuela, Roberto, Garrido-Merchan, Eduardo C. · GRACE: Global Review of AI Community Ethics · 245
Extracting Training Data from Diffusion Models
2023 · Carlini, Nicholas, Hayes, Jamie, et al. · arXiv (Cornell University) · 206
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Adding Conditional Control to Text-to-Image Diffusion Models
2023 · Zhang, Lvmin, Rao, Anyi, et al. · arXiv (Cornell University) · 200
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Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
2023 · Wu, Chenfei, Yin, Shengming, et al. · arXiv (Cornell University) · 197
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Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
2023 · Gowthami Somepalli, Vasu Singla, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 195
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Human Preference Score: Better Aligning Text-to-image Models with Human Preference
2023 · Xiaoshi Wu, Keqiang Sun, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 192
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DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
2023 · Zeyang Sha, Zheng Li, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 175
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What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education
2023 · Nassim Dehouche, Kullathida Dehouche · Heliyon · 170
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DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
2023 · Weijia Wu, Yuzhong Zhao, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 165
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DeepCache: Accelerating Diffusion Models for Free
2024 · Xinyin Ma, Gongfan Fang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 154
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Works count: 4,576
Citation count: 31,150
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