activity
20232026
most citedTOSS:High-quality Text-guided Novel View Synthesis from a Single Image

2 citations · 4 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 1 cited

SimCalib: Graph Neural Network Calibration based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu +4

Graph neural networks (GNNs) have exhibited impressive performance in modeling graph data as exemplified in various applications. Recently, the GNN calibration problem has attracte…

cs.HC2023

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li +6

This paper presents an Exploratory 3D Dance generation framework, E3D2, designed to address the exploration capability deficiency in existing music-conditioned 3D dance generation…

cs.CV2023★ 1 cited

Stable Score Distillation for High-Quality 3D Generation

Boshi Tang, Jianan Wang, Zhiyong Wu +1

Although Score Distillation Sampling (SDS) has exhibited remarkable performance in conditional 3D content generation, a comprehensive understanding of its formulation is still lack…

cs.CV2023★ 2 cited

TOSS:High-quality Text-guided Novel View Synthesis from a Single Image

Yukai Shi, Jianan Wang, He Cao +7

In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image. While Zero-1-to-3 has demonstrated impressive zero-sho…

cs.CV2023

AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation

Liyang Chen, Weihong Bao, Shun Lei +5

Speech-driven 3D facial animation aims at generating facial movements that are synchronized with the driving speech, which has been widely explored recently. Existing works mostly…