4 citations · 4 across the 4 of their papers we have counts for
5 papers
LACON: Training Text-to-Image Model from Uncurated Data
Zhiyang Liang, Ziyu Wan, Hongyu Liu +4
The success of modern text-to-image generation is largely attributed to massive, high-quality datasets. Currently, these datasets are curated through a filter-first paradigm that a…
AvatarArtist: Open-Domain 4D Avatarization
Hongyu Liu, Xuan Wang, Ziyu Wan +6
This work focuses on open-domain 4D avatarization, with the purpose of creating a 4D avatar from a portrait image in an arbitrary style. We select parametric triplanes as the inter…
Epsilon-VAE: Denoising as Visual Decoding
Long Zhao, Sanghyun Woo, Ziyu Wan +6
In generative modeling, tokenization simplifies complex data into compact, structured representations, creating a more efficient, learnable space. For high-dimensional visual data,…
An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion
Xingguang Yan, Han-Hung Lee, Ziyu Wan +1
We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry, appearance…
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
Yun Luo, Li-Zhen Zhu, Zi-Yu Wan +1
The data scarcity problem in emotion recognition from electroencephalography (EEG) leads to difficulty in building an affective model with high accuracy using machine learning algo…