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20212023
most citedPseudo Numerical Methods for Diffusion Models on Manifolds

125 citations · 462 across the 47 of their papers we have counts for

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11 papers · 1 filter

cs.CV2023★ 7 cited

Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

Zehan Wang, Haifeng Huang, Yang Zhao +2

3D scene understanding has gained significant attention due to its wide range of applications. However, existing methods for 3D scene understanding are limited to specific downstre…

cs.CV2023

Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren +5

We are interested in a novel task, namely low-resource text-to-talking avatar. Given only a few-minute-long talking person video with the audio track as the training data and arbit…

cs.CV2023

3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding

Zehan Wang, Haifeng Huang, Yang Zhao +5

3D visual grounding aims to localize the target object in a 3D point cloud by a free-form language description. Typically, the sentences describing the target object tend to provid…

cs.CV2023★ 1 cited

Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding

Zehan Wang, Haifeng Huang, Yang Zhao +5

3D visual grounding involves finding a target object in a 3D scene that corresponds to a given sentence query. Although many approaches have been proposed and achieved impressive p…

cs.CV2023★ 2 cited

Detector Guidance for Multi-Object Text-to-Image Generation

Luping Liu, Zijian Zhang, Yi Ren +3

Diffusion models have demonstrated impressive performance in text-to-image generation. They utilize a text encoder and cross-attention blocks to infuse textual information into ima…

cs.CV2023★ 5 cited

GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation

Zhenhui Ye, Jinzheng He, Ziyue Jiang +7

Generating talking person portraits with arbitrary speech audio is a crucial problem in the field of digital human and metaverse. A modern talking face generation method is expecte…

cs.CV2023★ 8 cited

MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition

Xize Cheng, Linjun Li, Tao Jin +7

Multi-media communications facilitate global interaction among people. However, despite researchers exploring cross-lingual translation techniques such as machine translation and a…

cs.CV2023★ 34 cited

GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren +3

Generating photo-realistic video portrait with arbitrary speech audio is a crucial problem in film-making and virtual reality. Recently, several works explore the usage of neural r…

cs.CV2022★ 1 cited

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

Luping Liu, Yi Ren, Xize Cheng +3

Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and safety of deep learning. Currently, discriminator models outperform other methods in this reg…

cs.CV2022★ 7 cited

Video-Guided Curriculum Learning for Spoken Video Grounding

Yan Xia, Zhou Zhao, Shangwei Ye +3

In this paper, we introduce a new task, spoken video grounding (SVG), which aims to localize the desired video fragments from spoken language descriptions. Compared with using text…

cs.CV2022★ 125 cited

Pseudo Numerical Methods for Diffusion Models on Manifolds

Luping Liu, Yi Ren, Zhijie Lin +1

Denoising Diffusion Probabilistic Models (DDPMs) can generate high-quality samples such as image and audio samples. However, DDPMs require hundreds to thousands of iterations to pr…