Realistic Saliency Guided Image Enhancement paper page: https://
huggingface.co/papers/2306.06
092
… Common editing operations performed by professional photographers include the cleanup operations: de-emphasizing distracting elements and enhancing subjects. These edits are challenging, requiring a
GENERATIVE AI
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Realistic Saliency Guided Image Enhancement for Professional Photo Editing
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GANeRF: Using Discriminators to Optimize Neural Radiance Fields
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GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
— AK (@_akhaliq) 12 juin 2023
paper page: https://t.co/9uSfhTnZEP
Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance… pic.twitter.com/vycX0uKCKzGANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields paper page: https://
huggingface.co/papers/2306.06
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… Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance -
Social Impact Evaluation of Generative AI Systems Across Modalities
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Evaluating the Social Impact of Generative AI Systems in Systems and Society paper page: https://
huggingface.co/papers/2306.05
949
… Generative AI systems across modalities, ranging from text, image, audio, and video, have broad social impacts, but there exists no official standard for means of -
Open Source LLMs Webinar with Nomic AI and MosaicML
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Open source LLMs have been on lately We're excited to do a webinar focused on them with two of the companies leading the charge: @nomic_ai (creators of GPT4all) @MosaicML (creators of MPT-7B and others) This Wednesday, 9-10am PST
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Embodied Executable Policy Learning with Language-based Scene Summarization
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Embodied Executable Policy Learning with Language-based Scene Summarization paper page: https://
huggingface.co/papers/2306.05
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… Large Language models (LLMs) have shown remarkable success in assisting robot learning tasks, i.e., complex household planning. However, the performance of pretrained -
Evaluating LLM-as-a-Judge: MT-Bench and Chatbot Arena
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena paper page: https://
huggingface.co/papers/2306.05
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… Evaluating large language model (LLM) based chat assistants is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences. To -
OpenAI’s Rare Success Among Billion-Dollar Startup Failures
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OpenAI might be the only consumer tech product startup that raised > $100m prior to launch, and actually made it work. A graveyard of others have tried and failed (Magic Leap, Juicero, Quibi, etc)
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AI Model Draws Thoughts with 80 Percent Accuracy
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Two researchers have created a new #AI model that can draw what you’re thinking with 80% accuracy https://
bit.ly/3FTXOoD -
Open-source multimodal models ahead of GPT-4
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Second, there are already several multimodal models out there; GPT-4 is still a pure text model. Here’s where open-source innovated first.
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Open-Source Model Finetuning Outperforms Generalist Models
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Disagree. You can finetune open-source models. And if done right, finetuned models outperform generalist models. You can’t finetune GPT-4 w/o access.