most citedSingle-Image 3D Human Digitization with Shape-Guided Diffusion

29 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202329 cited

Single-Image 3D Human Digitization with Shape-Guided Diffusion

Badour AlBahar, Shunsuke Saito, Hung-Yu Tseng +3

We present an approach to generate a 360-degree view of a person with a consistent, high-resolution appearance from a single input image. NeRF and its variants typically require vi…

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.CV20223 cited

Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model

Shin-I Cheng, Yu-Jie Chen, Wei-Chen Chiu +2

Generating images from hand-drawings is a crucial and fundamental task in content creation. The translation is difficult as there exist infinite possibilities and the different use…

cs.CV20221 cited

Vector Quantized Image-to-Image Translation

Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu +2

Current image-to-image translation methods formulate the task with conditional generation models, leading to learning only the recolorization or regional changes as being constrain…