State of the art on diffusion models for visual computing

R Po, W Yifan, V Golyanik, K Aberman… - Computer Graphics …, 2024 - Wiley Online Library
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Relightable gaussian codec avatars

S Saito, G Schwartz, T Simon, J Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

Recent advances in implicit representation-based 3d shape generation

JM Sun, T Wu, L Gao - Visual Intelligence, 2024 - Springer
Various techniques have been developed and introduced to address the pressing need to
create three-dimensional (3D) content for advanced applications such as virtual reality and …

Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image

Y Mei, Y Zeng, H Zhang, Z Shu… - Proceedings of the …, 2024 - openaccess.thecvf.com
At the core of portrait photography is the search for ideal lighting and viewpoint. The process
often requires advanced knowledge in photography and an elaborate studio setup. In this …

Uravatar: Universal relightable gaussian codec avatars

J Li, C Cao, G Schwartz, R Khirodkar… - SIGGRAPH Asia 2024 …, 2024 - dl.acm.org
We present a new approach to creating photorealistic and relightable head avatars from a
phone scan with unknown illumination. The reconstructed avatars can be animated and relit …

Relightable neural actor with intrinsic decomposition and pose control

D Carbonera Luvizon, V Golyanik, A Kortylewski… - … on Computer Vision, 2024 - Springer
Creating a controllable and relightable digital avatar from multi-view video with fixed
illumination is a very challenging problem since humans are highly articulated, creating …

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation

H Li, Y Feng, S Xue, X Liu, B Zeng… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract 3D face reconstruction aims at generating high-fidelity 3D face shapes and textures
from single-view or multi-view images. However current prevailing facial texture generation …

Lite2Relight: 3D-aware Single Image Portrait Relighting

P Rao, G Fox, A Meka, M BR, F Zhan… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for
advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate …

Physically‐Based Lighting for 3D Generative Models of Cars

N Violante, A Gauthier, S Diolatzis… - Computer Graphics …, 2024 - Wiley Online Library
Recent work has demonstrated that Generative Adversarial Networks (GANs) can be trained
to generate 3D content from 2D image collections, by synthesizing features for neural …

Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators

L Zeng, NK Kalantari - arxiv preprint arxiv:2411.12002, 2024 - arxiv.org
With the advances in generative adversarial networks (GANs) and neural rendering, 3D
relightable face generation has received significant attention. Among the existing methods, a …