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6 papers
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…
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…
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model
Fukun Yin, Xin Chen, Chi Zhang +6
The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data,…
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
Sijin Chen, Xin Chen, Chi Zhang +6
Recent advances in Large Multimodal Models (LMM) have made it possible for various applications in human-machine interactions. However, developing LMMs that can comprehend, reason,…
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Yuhan Ding, Fukun Yin, Jiayuan Fan +6
Recent advances in implicit neural representations have achieved impressive results by sampling and fusing individual points along sampling rays in the sampling space. However, due…
VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations
Yiying Yang, Wen Liu, Fukun Yin +4
Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational…