We present Turbo3D, an ultra-fast text-to-3D system capable of generating high-quality
Gaussian splatting assets in under one second. Turbo3D employs a rapid 4-step, 4-view …

Generative Large Multimodal Models (LMMs) like LLaVA and Qwen-VL excel at a wide
variety of vision-language (VL) tasks such as image captioning or visual question …

Visual Instruction Tuning typically requires a large amount of vision-language training data.
This data often containing redundant information that increases computational costs without …

Visually linking matching cues is a crucial ability in daily life, such as identifying the same
person in multiple photos based on their cues, even without knowing who they are. Despite …

Despite recent advances in Vision-Language Models (VLMs), many still over-rely on visual
language priors present in their training data rather than true visual reasoning. To examine …

Multimodal Large Language Models (MLLMs) have made notable advances in visual
understanding, yet their abilities to recognize objects modified by specific attributes remain …

The intersection of vision and language presents challenges, as vision language models
(VLMs) may exploit language biases, reducing their reliance on visual input. To examine …

Multimodal large language models (MLLMs) have shown impressive performance on tasks
requiring integrated visual and textual understanding. A key factor in their success is the …