Trending Research
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
microsoft/biogpt
•
•
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain.
Ranked #1 on
Question Answering
on PubMedQA
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
AttendAndExcite/Attend-and-Excite
•
•
Recent text-to-image generative models have demonstrated an unparalleled ability to generate diverse and creative imagery guided by a target text prompt.
Multimodal Chain-of-Thought Reasoning in Language Models
By incorporating the vision features in both stages, the model is able to generate effective rationales that contribute to answer inference.
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
salesforce/lavis
•
•
The cost of vision-and-language pre-training has become increasingly prohibitive due to end-to-end training of large-scale models.
Ranked #1 on
Image Retrieval
on COCO
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
To reproduce the success of text-to-image (T2I) generation, recent works in text-to-video (T2V) generation employ large-scale text-video dataset for fine-tuning.
InstructPix2Pix: Learning to Follow Image Editing Instructions
timothybrooks/instruct-pix2pix
•
•
We propose a method for editing images from human instructions: given an input image and a written instruction that tells the model what to do, our model follows these instructions to edit the image.
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
ucaszyp/steps
•
•
By fitting a bridge-shaped curve to the illumination map distribution, both regions are suppressed and two tasks are bridged naturally.
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
In this paper, we answer these questions by first defining the human-level quality based on the statistical significance of subjective measure and introducing appropriate guidelines to judge it, and then developing a TTS system called NaturalSpeech that achieves human-level quality on a benchmark dataset.
Ranked #1 on
Text-To-Speech Synthesis
on LJSpeech
ArchiSound: Audio Generation with Diffusion
archinetai/audio-diffusion-pytorch
•
•
The recent surge in popularity of diffusion models for image generation has brought new attention to the potential of these models in other areas of media generation.
Parsel: A (De-)compositional Framework for Algorithmic Reasoning with Language Models
Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs.
Ranked #1 on
Code Generation
on APPS
