Trending Research
PaddleNLP
PaddlePaddle/PaddleNLP
•
•
COLING (TextGraphs) 2020
Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Our key insight is to take advantage of the powerful vision-language model CLIP for supervising neural human generation, in terms of 3D geometry, texture and animation.
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing.
Extracting Triangular 3D Models, Materials, and Lighting From Images
NVlabs/nvdiffrec
•
•
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations.
Automated Crossword Solving
albertkx/berkeley-crossword-solver
•
•
ACL 2022
We present the Berkeley Crossword Solver, a state-of-the-art approach for automatically solving crossword puzzles.
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Specifically, BEVerse first performs shared feature extraction and lifting to generate 4D BEV representations from multi-timestamp and multi-view images.
Towards Unified Keyframe Propagation Models
runwayml/guided-inpainting
•
•
We evaluate our two-stream approach for inpainting tasks, where experiments show that it improves both the propagation of features within a single frame as required for image inpainting, as well as their propagation from keyframes to target frames.
Zero-Shot Text-to-Image Generation
Text-to-image generation has traditionally focused on finding better modeling assumptions for training on a fixed dataset.
Ranked #5 on
Zero-Shot Text-to-Image Generation
on COCO
Vision Transformer Adapter for Dense Predictions
When fine-tuning on downstream tasks, a modality-specific adapter is used to introduce the data and tasks' prior information into the model, making it suitable for these tasks.
Ranked #1 on
Semantic Segmentation
on ADE20K val
Ivy: Templated Deep Learning for Inter-Framework Portability
ivy-dl/ivy
•
•
We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks.
