Results 181 to 190 of about 38,197 (242)
Layer3D: A 3D Layered Representation for Multiview Vector Graphics
Computer Graphics Forum, EarlyView.Abstract We present Layer3D, a novel 3D neural representation that models objects as collections of decomposable neural implicit primitives. These primitives enable the generation of layered images with consistent correspondences across viewpoints, establishing a flexible framework for multiview vector graphics decomposition.
Zhongyue Guan, Yixin Hu, Zeyu Wang
wiley +1 more source
Edge‐preserving noise for diffusion models
Computer Graphics Forum, EarlyView.Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden +3 more
wiley +1 more source
Authoring Terrestrial Planets with Diffusion Models
Computer Graphics Forum, EarlyView.Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg +6 more
wiley +1 more source
SAGE: Structure‐Aware Generative Video Transitions between Diverse Clips
Computer Graphics Forum, EarlyView.Abstract Video transitions aim to synthesize intermediate frames between two clips, but naïve approaches such as linear blending introduce artifacts that limit professional use or break temporal coherence. Traditional techniques (cross‐fades, morphing, frame interpolation) and recent generative inbetweening methods can produce high‐quality plausible ...
Mia Kan, Yilin Liu, Niloy J. Mitra
wiley +1 more source
Computer Graphics Forum, EarlyView.We introduce the physically based neural BRDF, a novel continuous representation for material appearance based on neural fields. Our model accurately performs real‐world material reconstruction, generation and editing, while uniquely enhancing the physical accuracy of neural BRDFs via three key aspects: energy conservation, Helmholtz reciprocity and ...
C. Zhou +8 more
wiley +1 more source
Single Line Drawing Generation via Semantics‐Driven Optimization
Computer Graphics Forum, EarlyView.We present a method for automatically generating single‐line drawings in vector format, guided by a text prompt or an input image. Our approach leverages score distillation sampling to optimize the parameters of a uniform rational B‐spline (URBS) curve, ensuring that the drawing consists of a single continuous stroke by design.
Tanguy Magne +3 more
wiley +1 more source
Volumetric Inverse Rendering via Neural Radiative Transfer
Computer Graphics Forum, EarlyView.Abstract Volumetric inverse rendering seeks to recover the optical properties of participating media from images. Existing approaches either rely on differentiable stochastic light transport simulation, which require substantial algorithmic effort, or use simplified models that fail to capture global illumination.
Ntumba Elie Nsampi +4 more
wiley +1 more source