activity
20232026
most citedSingle-Image 3D Human Digitization with Shape-Guided Diffusion

29 citations · 32 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Eulerian Motion Reconstruction for Water Scenery

Chuhan Chen, Yen-Chi Cheng, Ayush Saraf +8

Reconstructing and animating water scenery from nature produces compelling and immersive visual experiences. Previous work examined this task from the perspective of 2D video textu…

cs.CV2026

AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation

Yen-Chi Cheng, Chen Gao, Chuhan Chen +8

Novel view rendering of large and complex reconstructed scenes is becoming increasingly photorealistic. However, most reconstructions remain static and lack the ambient motion that…

cs.CV2024

Textured Gaussians for Enhanced 3D Scene Appearance Modeling

Brian Chao, Hung-Yu Tseng, Lorenzo Porzi +8

3D Gaussian Splatting (3DGS) has recently emerged as a state-of-the-art 3D reconstruction and rendering technique due to its high-quality results and fast training and rendering ti…

cs.CV2024★ 3 cited

ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models

Lukas Höllein, Aljaž Božič, Norman Müller +5

3D asset generation is getting massive amounts of attention, inspired by the recent success of text-guided 2D content creation. Existing text-to-3D methods use pretrained text-to-i…

cs.CV2023★ 29 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…