6 papers · 1 filter
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…
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…
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…
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…
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…
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…