Stars
Code for the paper "An Evaluation of Disentangled Representation Learning for Texts", to be published at the Findings of ACL 2021.
This is the implementation fo Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis (ICMR2022))
This repository contains code for the natual language generating Text-to-Speech model built upon Generative Adversarial Networks. It employs content-stle disentanglement and synthesizes high fideli…
Official Implementation of "Text Classification Thorugh Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation"
code for '"TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification' accepted by AAAI 2024
Codes for the SIGIR 2022 paper Mutual disentanglement learning for joint fine-grained sentiment classification and controllable text generation
Learning Disentangled Meaning and Style Representations for Positive Text Reframing
Disentangling Content and Motion for Text-Based Neural Video Manipulation
The official repository for our ICLR2024 paper, DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
[ECCV 2024] The official repo for "Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing"
[CVPR`2024, Oral] Attention Calibration for Disentangled Text-to-Image Personalization
Code for CVPR'2022 paper ✨ "Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model"
Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"
[IJCAI 2023] Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment
Official Implementation of paper "Disentangled Clothed Avatar Generation from Text Descriptions"
ACL-2022 paper: Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.
Controllable Text Generation using variational auto-encoder (VAE) and text CNN
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
(ICCV2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"
Neural network parametrized objective to disentangle and transfer style and content in text
Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models