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cs.CV2024
RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning
Jiacheng Wang, Zhedong Zheng, Wei Xu +1
Given a single image of a target object, image-to-3D generation aims to reconstruct its texture and geometric shape. Recent methods often utilize intermediate media, such as multi-…
cs.CV2024
Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
Xianghui Yang, Huiwen Shi, Bowen Zhang +20
While 3D generative models have greatly improved artists' workflows, the existing diffusion models for 3D generation suffer from slow generation and poor generalization. To address…
cs.CV2024
Unified Diffusion-Based Rigid and Non-Rigid Editing with Text and Image Guidance
Jiacheng Wang, Ping Liu, Wei Xu
Existing text-to-image editing methods tend to excel either in rigid or non-rigid editing but encounter challenges when combining both, resulting in misaligned outputs with the pro…