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

29 citations · 30 across the 8 of their papers we have counts for

collaborators

9 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

Planar Reflection-Aware Neural Radiance Fields

Chen Gao, Yipeng Wang, Changil Kim +2

Neural Radiance Fields (NeRF) have demonstrated exceptional capabilities in reconstructing complex scenes with high fidelity. However, NeRF's view dependency can only handle low-fr…

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

Modeling Ambient Scene Dynamics for Free-view Synthesis

Meng-Li Shih, Jia-Bin Huang, Changil Kim +3

We introduce a novel method for dynamic free-view synthesis of an ambient scenes from a monocular capture bringing a immersive quality to the viewing experience. Our method builds…

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.CV2024★ 1 cited

TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion

Yu-Ying Yeh, Jia-Bin Huang, Changil Kim +8

We present TextureDreamer, a novel image-guided texture synthesis method to transfer relightable textures from a small number of input images (3 to 5) to target 3D shapes across ar…

cs.CV2024

IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images

Chih-Hao Lin, Jia-Bin Huang, Zhengqin Li +7

Inverse rendering seeks to recover 3D geometry, surface material, and lighting from captured images, enabling advanced applications such as novel-view synthesis, relighting, and vi…

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…