activity
20232026
most citedSweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D

19 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GR2026

CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model

Mingyi Shi, Huancheng Lin, Xuelin Chen +1

Skeletal motion is stored as every joint's transform at every frame, yet most of it is implied by the body rather than by what the motion is about. Compression is one way to ask wh…

cs.GR2026

Prior-First, Condition-Second: Scalable and Controllable Hand Motion Completion

Mingyi Shi, Xuelin Chen, Taku Komura

Synthesizing hand motion that matches the full body motion and the semantic labels is a difficult task due to their high degrees of freedom and the lack of semantic labels. To cope…

cs.GR2025

MotionPersona: Real-Time Locomotion Control across Personas, Bodies, and Styles

Mingyi Shi, Wei Liu, Jidong Mei +4

We present MotionPersona, a generative framework for character-aware locomotion control, in which the motion for a command depends on the captured persona, the body shape, and the…

cs.GR2024★ 5 cited

CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner

Weiyu Li, Jiarui Liu, Hongyu Yan +5

We present a novel generative 3D modeling system, coined CraftsMan, which can generate high-fidelity 3D geometries with highly varied shapes, regular mesh topologies, and detailed…

cs.GR2024

Taming Diffusion Probabilistic Models for Character Control

Rui Chen, Mingyi Shi, Shaoli Huang +3

We present a novel character control framework that effectively utilizes motion diffusion probabilistic models to generate high-quality and diverse character animations, responding…

cs.CV2023★ 19 cited

SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D

Weiyu Li, Rui Chen, Xuelin Chen +1

It is inherently ambiguous to lift 2D results from pre-trained diffusion models to a 3D world for text-to-3D generation. 2D diffusion models solely learn view-agnostic priors and t…