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20162025
most citedLearning Linear Transformations for Fast Arbitrary Style Transfer

95 citations · 702 across the 43 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 2 cited

COLMAP-Free 3D Gaussian Splatting

Yang Fu, Sifei Liu, Amey Kulkarni +3

While neural rendering has led to impressive advances in scene reconstruction and novel view synthesis, it relies heavily on accurately pre-computed camera poses. To relax this con…

cs.CV2023★ 1 cited

A Unified Approach for Text- and Image-guided 4D Scene Generation

Yufeng Zheng, Xueting Li, Koki Nagano +4

Large-scale diffusion generative models are greatly simplifying image, video and 3D asset creation from user-provided text prompts and images. However, the challenging problem of t…

cs.CV2023★ 2 cited

3D Reconstruction with Generalizable Neural Fields using Scene Priors

Yang Fu, Shalini De Mello, Xueting Li +4

High-fidelity 3D scene reconstruction has been substantially advanced by recent progress in neural fields. However, most existing methods train a separate network from scratch for…

cs.CV2023★ 7 cited

Generalizable One-shot Neural Head Avatar

Xueting Li, Shalini De Mello, Sifei Liu +3

We present a method that reconstructs and animates a 3D head avatar from a single-view portrait image. Existing methods either involve time-consuming optimization for a specific pe…

cs.CV2023★ 1 cited

Zero-shot Pose Transfer for Unrigged Stylized 3D Characters

Jiashun Wang, Xueting Li, Sifei Liu +4

Transferring the pose of a reference avatar to stylized 3D characters of various shapes is a fundamental task in computer graphics. Existing methods either require the stylized cha…

cs.CV2023★ 2 cited

TUVF: Learning Generalizable Texture UV Radiance Fields

An-Chieh Cheng, Xueting Li, Sifei Liu +1

Textures are a vital aspect of creating visually appealing and realistic 3D models. In this paper, we study the problem of generating high-fidelity texture given shapes of 3D asset…

cs.CV2023★ 11 cited

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Jiarui Xu, Sifei Liu, Arash Vahdat +3

We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panopti…

cs.CV2023★ 2 cited

Affordance Diffusion: Synthesizing Hand-Object Interactions

Yufei Ye, Xueting Li, Abhinav Gupta +5

Recent successes in image synthesis are powered by large-scale diffusion models. However, most methods are currently limited to either text- or image-conditioned generation for syn…