Trending Research
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition
Attempting to train the visual and text encoder to account for this shift results in catastrophic forgetting and a notable decrease in performance.
GPT-4 Technical Report
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs.
Ranked #1 on
Multi-task Language Understanding
on MMLU
GPT Understands, Too
THUDM/GLM
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On the SuperGlue benchmark, GPTs achieve comparable and sometimes better performance to similar-sized BERTs in supervised learning.
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws
Here we present $\Phi$-SO, a Physical Symbolic Optimization framework for recovering analytical symbolic expressions from physics data using deep reinforcement learning techniques by learning units constraints.
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
cloneofsimo/lora
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Once the subject is embedded in the output domain of the model, the unique identifier can be used to synthesize novel photorealistic images of the subject contextualized in different scenes.
Deep Learning for Camera Calibration and Beyond: A Survey
kangliao929/awesome-deep-camera-calibration
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In this paper, we provide a comprehensive survey of learning-based camera calibration techniques, by analyzing their strengths and limitations.
Generative Semantic Segmentation
fudan-zvg/gss
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To that end, the segmentation mask is expressed with a special type of image (dubbed as maskige).
Wavelet Diffusion Models are fast and scalable Image Generators
Diffusion models are rising as a powerful solution for high-fidelity image generation, which exceeds GANs in quality in many circumstances.
Ranked #1 on
Image Generation
on CelebA-HQ 512x512
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
To democratize this, we train and release a family of large language models up to 16. 1B parameters, called CODEGEN, on natural language and programming language data, and open source the training library JAXFORMER.
Ranked #1 on
Program Synthesis
on HumanEval
TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice Conversion
The existing methods do not simultaneously satisfy the above two aspects of VC, and their conversion outputs suffer from a trade-off problem between maintaining source contents and target characteristics.
