Summary of Deep Compression Autoencoder For Efficient High-resolution Diffusion Models, by Junyu Chen et al.
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Modelsby Junyu Chen, Han Cai, Junsong Chen, Enze…
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Modelsby Junyu Chen, Han Cai, Junsong Chen, Enze…
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoningby Kuofeng…
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Modelby Yuqi Wang, Ke Cheng, Jiawei He,…
NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Modelsby Yanbiao Ji,…
FlexGen: Flexible Multi-View Generation from Text and Image Inputsby Xinli Xu, Wenhang Ge, Jiantao Lin,…
Focused ReAct: Improving ReAct through Reiterate and Early Stopby Shuoqiu Li, Han Xu, Haipeng ChenFirst…
Boosting Camera Motion Control for Video Diffusion Transformersby Soon Yau Cheong, Duygu Ceylan, Armin Mustafa,…
Depth Any Video with Scalable Synthetic Databy Honghui Yang, Di Huang, Wei Yin, Chunhua Shen,…
Crafting Narrative Closures: Zero-Shot Learning with SSM Mamba for Short Story Ending Generationby Divyam Sharma,…
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Promptsby Toluwani Aremu, Oluwakemi…