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20182026
most citedDeep Face Video Inpainting via UV Mapping

21 citations · 64 across the 34 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction

Lingteng Qiu, Shenhao Zhu, Qi Zuo +9

Generating animatable human avatars from a single image is essential for various digital human modeling applications. Existing 3D reconstruction methods often struggle to capture f…

cs.CV2024★ 2 cited

HouseTune: Two-Stage Floorplan Generation with LLM Assistance

Ziyang Zong, Guanying Chen, Zhaohuan Zhan +2

This paper proposes a two-stage text-to-floorplan generation framework that combines the reasoning capability of Large Language Models (LLMs) with the generative power of diffusion…

cs.CV2024

PIR: Photometric Inverse Rendering with Shading Cues Modeling and Surface Reflectance Regularization

Jingzhi Bao, Guanying Chen, Shuguang Cui

This paper addresses the problem of inverse rendering from photometric images. Existing approaches for this problem suffer from the effects of self-shadows, inter-reflections, and…

cs.CV2024

SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation

Heyuan Li, Ce Chen, Tianhao Shi +4

While recent advances in 3D-aware Generative Adversarial Networks (GANs) have aided the development of near-frontal view human face synthesis, the challenge of comprehensively synt…

cs.CV2024

Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery

Yuqi Zhang, Guanying Chen, Jiaxing Chen +1

We present a neural radiance field method for urban-scale semantic and building-level instance segmentation from aerial images by lifting noisy 2D labels to 3D. This is a challengi…

cs.CV2024★ 1 cited

OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models

Zhe Kong, Yong Zhang, Tianyu Yang +6

Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with ident…