Everything to the Synthetic: Diffusion-driven Test-time Adaptation via
Synthetic-Domain Alignment

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment

6 June 2024

Gao Huang

Papers citing "Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment"

7 / 7 papers shown

Title
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation Zanlin Ni Yulin Wang Renping Zhou Rui Lu Jiayi Guo Jinyi Hu Zhiyuan Liu Yuan Yao Gao Huang 25 7 0 31 Aug 2024
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation Chaoqun Du Yulin Wang Jiayi Guo Yizeng Han Jie Zhou Gao Huang TTA 25 0 0 29 Jul 2024
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback Mihir Prabhudesai Tsung-Wei Ke Alexander C. Li Deepak Pathak Katerina Fragkiadaki TTA 24 15 0 27 Nov 2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning Jiayi Guo Chaofei Wang You Wu Eric Zhang Kai Wang Xingqian Xu S. Song Humphrey Shi Gao Huang DiffM VLM 66 28 0 06 Apr 2023
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 187 410 0 16 May 2022
LENS: Localization enhanced by NeRF synthesis Arthur Moreau Nathan Piasco D. Tsishkou B. Stanciulescu A. de La Fortelle 32 121 0 13 Oct 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016