4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2025
UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning
Rui Tian, Mingfei Gao, Haiming Gang +5
We present UniGen-1.5, a unified multimodal large language model (MLLM) for advanced image understanding, generation and editing. Building upon UniGen, we comprehensively enhance t…
cs.CV2025
MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs
Erik Daxberger, Nina Wenzel, David Griffiths +8
Multimodal large language models (MLLMs) excel at 2D visual understanding but remain limited in their ability to reason about 3D space. In this work, we leverage large-scale high-q…
cs.CV2024★ 4 cited
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
Mingze Xu, Mingfei Gao, Zhe Gan +5
We propose SlowFast-LLaVA (or SF-LLaVA for short), a training-free video large language model (LLM) that can jointly capture detailed spatial semantics and long-range temporal cont…