Xuanyu Yi's starred repositories
MVDiffusion
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)
prolificdreamer
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Anything-3D
Segment-Anything + 3D. Let's lift anything to 3D.
stable-dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Generalized-Long-Tailed-Benchmarks.pytorch
[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.
tutorial_noisylabels
Tutorial about noisy labels for SIBGRAPI 2020
Scene-Graph-Benchmark.pytorch
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
Prompt-align
[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
CrossPoint
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
image_captioning
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
stm32-speech-recognition
基于STM32的孤立词语音识别
xunfei-demo
xunfei-demo using Swift
Speech-Recognition-APP-NUS-
NUS partnership
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"