Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers

ZX Zou, Z Yu, YC Guo, Y Li, D Liang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recent advancements in 3D reconstruction from single images have been driven by the
evolution of generative models. Prominent among these are methods based on Score …

Triposr: Fast 3d object reconstruction from a single image

D Tochilkin, D Pankratz, Z Liu, Z Huang, A Letts… - arxiv preprint arxiv …, 2024 - arxiv.org
This technical report introduces TripoSR, a 3D reconstruction model leveraging transformer
architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in …

Generative ai meets 3d: A survey on text-to-3d in aigc era

C Li, C Zhang, J Cho, A Waghwase, LH Lee… - arxiv preprint arxiv …, 2023 - arxiv.org
Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

Meshxl: Neural coordinate field for generative 3d foundation models

S Chen, X Chen, A Pang, X Zeng… - Advances in …, 2025 - proceedings.neurips.cc
The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed,
and storage efficiency, which is widely preferred in various applications. However, given its …

Llms meet multimodal generation and editing: A survey

Y He, Z Liu, J Chen, Z Tian, H Liu, X Chi, R Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation

Z Li, Y Chen, P Liu - Advances in Neural Information …, 2025 - proceedings.neurips.cc
Recent advancements in 2D/3D generative techniques have facilitated the generation of
dynamic 3D objects from monocular videos. Previous methods mainly rely on the implicit …

Physics3d: Learning physical properties of 3d gaussians via video diffusion

F Liu, H Wang, S Yao, S Zhang, J Zhou… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, there has been rapid development in 3D generation models, opening up
new possibilities for applications such as simulating the dynamic movements of 3D objects …

Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation

H Wang, J Cao, J Liu, X Zhou… - Advances in Neural …, 2025 - proceedings.neurips.cc
Recent advancements in 3D content generation have been significant, primarily due to the
visual priors provided by pretrained diffusion models. However, large 2D visual models …

Livescene: Language embedding interactive radiance fields for physical scene rendering and control

D Qu, Q Chen, P Zhang, X Gao, B Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper scales object-level reconstruction to complex scenes, advancing interactive
scene reconstruction. We introduce two datasets, OmniSim and InterReal, featuring 28 …

Embracing radiance field rendering in 6G: Over-the-air training and inference with 3D contents

G Wu, Z Lyu, J Zhang, J Xu - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The efficient representation, transmission, and reconstruction of three-dimensional (3D)
contents are becoming increasingly important for sixth-generation (6G) networks that aim to …