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Found 5 papers, 0 papers with code
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
We propose BeyondScene, a novel framework that overcomes prior limitations, generating exquisite higher-resolution (over 8K) human-centric scenes with exceptional text-image correspondence and naturalness using existing pretrained diffusion models.
Improvement in Variational Quantum Algorithms by Measurement Simplification
Variational Quantum Algorithms (VQAs) are expected to be promising algorithms with quantum advantages that can be run at quantum computers in the close future.
Detailed Human-Centric Text Description-Driven Large Scene Synthesis
Text-driven large scene image synthesis has made significant progress with diffusion models, but controlling it is challenging.
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Our DITTO-NeRF consists of constructing high-quality partial 3D object for limited in-boundary (IB) angles using the given or text-generated 2D image from the frontal view and then iteratively reconstructing the remaining 3D NeRF using inpainting latent diffusion model.
HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer
We propose a novel hairstyle transferred image synthesis method considering the underlying head geometry of two input images.
