Codes & Datasets
We publicly released source code implementations and datasets developed for our research, with the hope that they will help facilitate further AI research and applications.
Released Source Codes
|
NO |
Code |
Paper |
Conference |
Year |
|---|---|---|---|---|
| 01. |
PhoGPT 
366
26
|
- | 2023 | |
| 02. |
Dataset-Diffusion
20
0
|
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation | NeurIPS | 2023 |
| 03. |
LFM
36
0
|
Flow Matching in Latent Space | CVPR | 2023 |
| 04. |
XPhoneBERT
229
29
|
Model for Phoneme Representations for Text-to-Speech | InterSpeech | 2023 |
| 05. |
CREPS
25
2
|
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis | CVPR | 2023 |
| 06. |
HyperCUT
8
1
|
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering | CVPR | 2023 |