most citedChartLlama: A Multimodal LLM for Chart Understanding and Generation

25 citations · 31 across the 3 of their papers we have counts for

collaborators

10 papers

cs.CV20246 cited

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Sijin Chen, Xin Chen, Anqi Pang +11

The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed, and storage efficiency, which is widely preferred in various applications. However, giv…

cs.CV2024

MotionChain: Conversational Motion Controllers via Multimodal Prompts

Biao Jiang, Xin Chen, Chi Zhang +4

Recent advancements in language models have demonstrated their adeptness in conducting multi-turn dialogues and retaining conversational context. However, this proficiency remains…

cs.CV2024

Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Mu Hu, Wei Yin, Chi Zhang +7

We introduce Metric3D v2, a geometric foundation model for zero-shot metric depth and surface normal estimation from a single image, which is crucial for metric 3D recovery. While…

cs.CV2024

DreamFrame: Enhancing Video Understanding via Automatically Generated QA and Style-Consistent Keyframes

Zhende Song, Chenchen Wang, Jiamu Sheng +4

Recent large vision-language models (LVLMs) for video understanding are primarily fine-tuned with various videos scraped from online platforms. Existing datasets, such as ActivityN…

cs.CV2023

M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts

Mingsheng Li, Xin Chen, Chi Zhang +5

Recently, 3D understanding has become popular to facilitate autonomous agents to perform further decisionmaking. However, existing 3D datasets and methods are often limited to spec…

cs.CV2023

FaceStudio: Put Your Face Everywhere in Seconds

Yuxuan Yan, Chi Zhang, Rui Wang +5

This study investigates identity-preserving image synthesis, an intriguing task in image generation that seeks to maintain a subject's identity while adding a personalized, stylist…