3 papers
cs.GR2025
Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor
Rishit Dagli, Yushi Guan, Sankeerth Durvasula +2
We propose Squeeze3D, a novel framework that leverages implicit prior knowledge learnt by existing pre-trained 3D generative models to compress 3D data at extremely high compressio…
cs.LG2025
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
cs.CV2024
MFace: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing
Mohammadreza Mofayezi, Reza Alipour, Mohammad Ali Kakavand +1
Human face generation and editing represent an essential task in the era of computer vision and the digital world. Recent studies have shown remarkable progress in multi-modal face…