most citedInsActor: Instruction-driven Physics-based Characters

4 citations · 9 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2024

MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D

Wei Cheng, Juncheng Mu, Xianfang Zeng +8

Texturing is a crucial step in the 3D asset production workflow, which enhances the visual appeal and diversity of 3D assets. Despite recent advancements in Text-to-Texture (T2T) g…

cs.CV2024

3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Zhaoxi Chen, Jiaxiang Tang, Yuhao Dong +10

The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation. Despite recent advancements in 3D generative mo…

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.CV20241 cited

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Fangzhou Hong, Jiaxiang Tang, Ziang Cao +8

We present a two-stage text-to-3D generation system, namely 3DTopia, which generates high-quality general 3D assets within 5 minutes using hybrid diffusion priors. The first stage…

cs.CV20244 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.CV20234 cited

InsActor: Instruction-driven Physics-based Characters

Jiawei Ren, Mingyuan Zhang, Cunjun Yu +3

Generating animation of physics-based characters with intuitive control has long been a desirable task with numerous applications. However, generating physically simulated animatio…