By leveraging the text-to-image diffusion prior, score distillation can synthesize 3D contents
without paired text-3D training data. Instead of spending hours of online optimization per text …

Recent years have seen an explosion of work and interest in text‐to‐3D shape generation.
Much of the progress is driven by advances in 3D representations, large‐scale pretraining …

Recently, camera pose, as a user-friendly and physics-related condition, has been
introduced into text-to-video diffusion model for camera control. However, existing methods …

Recently, text-to-3D generation has attracted significant attention, resulting in notable
performance enhancements. Previous methods utilize end-to-end 3D generation models to …

Graphics pipelines require physically-based rendering (PBR) materials, yet current 3D
content generation approaches are built on RGB models. We propose to model the PBR …

In recent years, football analysis has grown in popularity with various new tools, ranging
from tracking entire teams' movement patterns to monitoring the effort exerted by individual …

Existing diffusion-based text-to-3D generation methods primarily focus on producing visually
realistic shapes and appearances, often neglecting the physical constraints necessary for …

Recent advancements in Text-to-3D generation have yielded remarkable progress,
particularly through methods that rely on Score Distillation Sampling (SDS). While SDS …

Novel view synthesis under sparse views has been a long-term important challenge in 3D
reconstruction. Existing works mainly rely on introducing external semantic or depth priors to …