Closed-Loop Unsupervised Representation Disentanglement with $β$ -VAE Distillation and Diffusion Probabilistic Feedback

4 February 2024

Papers citing "Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback"

6 / 6 papers shown

Title
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 68 0 0 30 Apr 2025
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing Yichun Shi Xiao Yang Yangyue Wan Xiaohui Shen GAN 137 83 0 04 Dec 2021
Practical Benefits of Feature Feedback Under Distribution Shift Anurag Katakkar Clay H. Yoo Weiqin Wang Zachary Chase Lipton Divyansh Kaushik 20 5 0 14 Oct 2021
High-Fidelity GAN Inversion for Image Attribute Editing Tengfei Wang Yong Zhang Yanbo Fan Jue Wang Qifeng Chen DiffM 189 243 0 14 Sep 2021
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching Mingi Ji Byeongho Heo Sungrae Park 53 140 0 05 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018