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 …

Score distillation sampling has been pivotal for integrating diffusion models into generation
of complex visuals. Despite impressive results it suffers from mode collapse and lack of …

Recently video diffusion models have emerged as expressive generative tools for high-
quality video content creation readily available to general users. However, these models …

Text-to-3D content creation has recently received much attention, especially with the
prevalence of 3D Gaussians Splatting. In general, GS-based methods comprise two key …

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

While 2D diffusion models generate realistic, high-detail images, 3D shape generation
methods like Score Distillation Sampling (SDS) built on these 2D diffusion models produce …

Score Distillation Sampling (SDS) has emerged as a prevalent technique for text-to-3D
generation, enabling 3D content creation by distilling view-dependent information from text …

The pre-trained text-to-image diffusion models have been increasingly employed to tackle
the real-world image super-resolution (Real-ISR) problem due to their powerful generative …

Text-to-3D synthesis has recently emerged as a new approach to sampling 3D models by
adopting pretrained text-to-image models as guiding visual priors. An intriguing but …

While 2D diffusion models generate realistic, high-detail images, 3D shape generation
methods like Score Distillation Sampling (SDS) built on these 2D diffusion models produce …