Disney Characters Transformed into Cyberpunk Style, midjourney AI 1. Mickey Mouse
@_akhaliq
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Multitrack Music Transcription with Time-Frequency Perceiver
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Multitrack Music Transcription with a Time-Frequency Perceiver paper page: https://
huggingface.co/papers/2306.10
785
… Multitrack music transcription aims to transcribe a music audio input into the musical notes of multiple instruments simultaneously. It is a very challenging task that typically -
RoboCat: Self-Improving Foundation Agent for Robotic Manipulation
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RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation paper page: https://
huggingface.co/papers/2306.11
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… The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to transform robot -
MotionGPT: Finetuned LLMs for General-Purpose Motion Generation
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MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
— AK (@_akhaliq) 21 juin 2023
paper page: https://t.co/FJM2YqZwHR
Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent… pic.twitter.com/DgUkKy7T7rMotionGPT: Finetuned LLMs are General-Purpose Motion Generators paper page: https://
huggingface.co/papers/2306.10
900
… Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent -
Diffusion Models for Solving Inverse Problems Without Supervision
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Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision paper page: https://
huggingface.co/papers/2306.11
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… Denoising diffusion models are a powerful type of generative models used to capture complex distributions of real-world signals. However, their -
HomeRobot: Open-Vocabulary Mobile Manipulation for Object Picking
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HomeRobot: Open-Vocabulary Mobile Manipulation
— AK (@_akhaliq) 21 juin 2023
paper page: https://t.co/Bg5DY8snQ8
Open-Vocabulary Mobile Manipulation (OVMM) is the problem of picking any object in any unseen environment, and placing it in a commanded location. This is a foundational challenge for robots to… pic.twitter.com/J4atienxw2HomeRobot: Open-Vocabulary Mobile Manipulation paper page: https://
huggingface.co/papers/2306.11
565
… Open-Vocabulary Mobile Manipulation (OVMM) is the problem of picking any object in any unseen environment, and placing it in a commanded location. This is a foundational challenge for robots to -
Point-Cloud Completion Using Pretrained Text-to-Image Diffusion Models
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Point-Cloud Completion with Pretrained Text-to-image Diffusion Models paper page: https://
huggingface.co/papers/2306.10
533
… Point-cloud data collected in real-world applications are often incomplete. Data is typically missing due to objects being observed from partial viewpoints, which only -
Phi-1: Efficient 1.3B Parameter Language Model for Code
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Textbooks Are All You Need paper page: https://
huggingface.co/papers/2306.11
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… introduce phi-1, a new large language model for code, with significantly smaller size than competing models: phi-1 is a Transformer-based model with 1.3B parameters, trained for 4 days on 8 A100s, using a selection -
RepoFusion: Training Code Models to Understand Repository Context
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RepoFusion: Training Code Models to Understand Your Repository paper page: https://
huggingface.co/papers/2306.10
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… Despite the huge success of Large Language Models (LLMs) in coding assistants like GitHub Copilot, these models struggle to understand the context present in the repository (e.g., -
Guiding Code Language Models with Global Context Using Monitors
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Guiding Language Models of Code with Global Context using Monitors paper page: https://
huggingface.co/papers/2306.10
763
… Language models of code (LMs) work well when the surrounding code in the vicinity of generation provides sufficient context. This is not true when it becomes necessary to use