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20182026
most citedMode Seeking Generative Adversarial Networks for Diverse Image Synthesis

36 citations · 97 across the 12 of their papers we have counts for

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18 papers · 1 filter

cs.CV2024

Taming Latent Diffusion Model for Neural Radiance Field Inpainting

Chieh Hubert Lin, Changil Kim, Jia-Bin Huang +5

Neural Radiance Field (NeRF) is a representation for 3D reconstruction from multi-view images. Despite some recent work showing preliminary success in editing a reconstructed NeRF…

cs.CV2023

Exploiting Diffusion Prior for Generalizable Dense Prediction

Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang

Contents generated by recent advanced Text-to-Image (T2I) diffusion models are sometimes too imaginative for existing off-the-shelf dense predictors to estimate due to the immitiga…

cs.CV20236 cited

Motion-Conditioned Diffusion Model for Controllable Video Synthesis

Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng +2

Recent advancements in diffusion models have greatly improved the quality and diversity of synthesized content. To harness the expressive power of diffusion models, researchers hav…

cs.CV2023

Consistent View Synthesis with Pose-Guided Diffusion Models

Hung-Yu Tseng, Qinbo Li, Changil Kim +3

Novel view synthesis from a single image has been a cornerstone problem for many Virtual Reality applications that provide immersive experiences. However, most existing techniques…

cs.CV2021

Learning to Stylize Novel Views

Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini +2

We tackle a 3D scene stylization problem - generating stylized images of a scene from arbitrary novel views given a set of images of the same scene and a reference image of the des…

cs.CV20214 cited

Unsupervised Sound Localization via Iterative Contrastive Learning

Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee +2

Sound localization aims to find the source of the audio signal in the visual scene. However, it is labor-intensive to annotate the correlations between the signals sampled from the…