Summary of Efficient Diffusion As Low Light Enhancer, by Guanzhou Lan et al.
Efficient Diffusion as Low Light Enhancerby Guanzhou Lan, Qianli Ma, Yuqi Yang, Zhigang Wang, Dong…
Summary of Dh-vton: Deep Text-driven Virtual Try-on Via Hybrid Attention Learning, by Jiabao Wei and Zhiyuan Ma
DH-VTON: Deep Text-Driven Virtual Try-On via Hybrid Attention Learningby Jiabao Wei, Zhiyuan MaFirst submitted to…
Summary of Weatherdg: Llm-assisted Diffusion Model For Procedural Weather Generation in Domain-generalized Semantic Segmentation, by Chenghao Qian et al.
WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentationby Chenghao Qian, Yuhu…
Summary of Patch-based Diffusion Models Beat Whole-image Models For Mismatched Distribution Inverse Problems, by Jason Hu et al.
Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problemsby Jason Hu, Bowen Song,…
Summary of Boosting Camera Motion Control For Video Diffusion Transformers, by Soon Yau Cheong et al.
Boosting Camera Motion Control for Video Diffusion Transformersby Soon Yau Cheong, Duygu Ceylan, Armin Mustafa,…
Summary of Loli-street: Benchmarking Low-light Image Enhancement and Beyond, by Md Tanvir Islam and Inzamamul Alam et al.
LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyondby Md Tanvir Islam, Inzamamul Alam, Simon S. Woo,…
Summary of Context-aware Full Body Anonymization Using Text-to-image Diffusion Models, by Pascal Zwick et al.
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Modelsby Pascal Zwick, Kevin Roesch, Marvin Klemp, Oliver…
Summary of Diffrelight: Diffusion-based Facial Performance Relighting, by Mingming He et al.
DifFRelight: Diffusion-Based Facial Performance Relightingby Mingming He, Pascal Clausen, Ahmet Levent Taşel, Li Ma, Oliver…
Summary of Harivo: Harnessing Text-to-image Models For Video Generation, by Mingi Kwon et al.
HARIVO: Harnessing Text-to-Image Models for Video Generationby Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan…
Summary of Decouple-then-merge: Finetune Diffusion Models As Multi-task Learning, by Qianli Ma et al.
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learningby Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu,…