A geometry-aware self-correction framework for consistent and high-fidelity single-image 3D reconstruction.
A novel training-free method that generates consistent 3D textures from text prompts by fusing multi-view diffusion in UV space.
A novel method that manipulates focused CLIP embeddings for object removal in diffusion models without a need for prompt guidance.
A novel GAN inversion method that warps StyleGAN features during inversion to improve its editing capability.
A novel method that inverts masked images into StyleGAN's latent space for diverse inpainting and editing.
A novel inpainting framework that can remove objects from images based on the instructions given as text prompts.
This paper presents a negotiation strategy on the partial preference profiles, which is utilized by the winner agent of ANAC 2020.