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20232025
most citedDreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

73 citations · 90 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Efficient Part-level 3D Object Generation via Dual Volume Packing

Jiaxiang Tang, Ruijie Lu, Zhaoshuo Li +7

Recent progress in 3D object generation has greatly improved both the quality and efficiency. However, most existing methods generate a single mesh with all parts fused together, w…

cs.CV2024★ 3 cited

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Jiaxiang Tang, Zhaoshuo Li, Zekun Hao +4

Current auto-regressive mesh generation methods suffer from issues such as incompleteness, insufficient detail, and poor generalization. In this paper, we propose an Auto-regressiv…

cs.CV2024

InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting

Jiaxiang Tang, Ruijie Lu, Xiaokang Chen +3

Text-to-texture synthesis has become a new frontier in 3D content creation thanks to the recent advances in text-to-image models. Existing methods primarily adopt a combination of…

cs.CV2024★ 4 cited

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen +3

3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution i…

cs.CV2023★ 6 cited

DreamGaussian4D: Generative 4D Gaussian Splatting

Jiawei Ren, Liang Pan, Jiaxiang Tang +4

4D content generation has achieved remarkable progress recently. However, existing methods suffer from long optimization times, a lack of motion controllability, and a low quality…

cs.CV2023★ 4 cited

HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting

Xian Liu, Xiaohang Zhan, Jiaxiang Tang +5

Realistic 3D human generation from text prompts is a desirable yet challenging task. Existing methods optimize 3D representations like mesh or neural fields via score distillation…

cs.CV2023★ 73 cited

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Jiaxiang Tang, Jiawei Ren, Hang Zhou +2

Recent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS). Though promising results have been exhibited, these m…