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cs.CV2025

ShapeGen: Towards High-Quality 3D Shape Synthesis

Yangguang Li, Xianglong He, Zi-Xin Zou +4

Inspired by generative paradigms in image and video, 3D shape generation has made notable progress, enabling the rapid synthesis of high-fidelity 3D assets from a single image. How…

cs.CV2025

3D Dental Model Segmentation with Geometrical Boundary Preserving

Shufan Xi, Zexian Liu, Junlin Chang +3

3D intraoral scan mesh is widely used in digital dentistry diagnosis, segmenting 3D intraoral scan mesh is a critical preliminary task. Numerous approaches have been devised for pr…

cs.CV2025

MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs

Xianglong He, Junyi Chen, Di Huang +5

In the domain of 3D content creation, achieving optimal mesh topology through AI models has long been a pursuit for 3D artists. Previous methods, such as MeshGPT, have explored the…

cs.CV2025

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

Yangguang Li, Zi-Xin Zou, Zexiang Liu +8

Recent advancements in diffusion techniques have propelled image and video generation to unprecedented levels of quality, significantly accelerating the deployment and application…

cs.CV2024

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation

Zexiang Liu, Yangguang Li, Youtian Lin +7

Recent advancements in text-to-3D generation technology have significantly advanced the conversion of textual descriptions into imaginative well-geometrical and finely textured 3D…

cs.CV2024

TripoSR: Fast 3D Object Reconstruction from a Single Image

Dmitry Tochilkin, David Pankratz, Zexiang Liu +7

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 i…