activity
20232026
most citedVRMM: A Volumetric Relightable Morphable Head Model

8 citations · 14 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2025

IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting

Yuxin Zhang, Minyan Luo, Weiming Dong +6

The stories and characters that captivate us as we grow up shape unique fantasy worlds, with images serving as the primary medium for visually experiencing these realms. Personaliz…

cs.CV2024

Towards Unified 3D Hair Reconstruction from Single-View Portraits

Yujian Zheng, Yuda Qiu, Leyang Jin +5

Single-view 3D hair reconstruction is challenging, due to the wide range of shape variations among diverse hairstyles. Current state-of-the-art methods are specialized in recoverin…

cs.CV2024

Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement

Chi Wang, Junming Huang, Rong Zhang +5

Automatic 3D facial texture generation has gained significant interest recently. Existing approaches may not support the traditional physically based rendering pipeline or rely on…

cs.CV2024★ 1 cited

InterFusion: Text-Driven Generation of 3D Human-Object Interaction

Sisi Dai, Wenhao Li, Haowen Sun +5

In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two k…

cs.CV2024★ 8 cited

VRMM: A Volumetric Relightable Morphable Head Model

Haotian Yang, Mingwu Zheng, Chongyang Ma +3

In this paper, we introduce the Volumetric Relightable Morphable Model (VRMM), a novel volumetric and parametric facial prior for 3D face modeling. While recent volumetric prior mo…

cs.CV2023★ 1 cited

Agents meet OKR: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation

Yi Zheng, Chongyang Ma, Kanle Shi +1

In this study, we introduce the concept of OKR-Agent designed to enhance the capabilities of Large Language Models (LLMs) in task-solving. Our approach utilizes both self-collabora…

cs.CV2023

Towards Practical Capture of High-Fidelity Relightable Avatars

Haotian Yang, Mingwu Zheng, Wanquan Feng +5

In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar), for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods, T…