In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is
often hampered by the limitations of existing digital tools, which demand extensive expertise …

Radiance field methods have achieved photorealistic novel view synthesis and geometry
reconstruction. But they are mostly applied in per-scene optimization or small-baseline …

The field of neural rendering has witnessed significant progress with advancements in
generative models and differentiable rendering techniques. Though 2D diffusion has …

Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

This work addresses the challenge of high-quality surface normal estimation from monocular
colored inputs (ie, images and videos), a field which has recently been revolutionized by …

Recent advancements in text-to-3D generation technology have significantly advanced the
conversion of textual descriptions into imaginative well-geometrical and finely textured 3D …

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 …

Apparel's significant role in human appearance underscores the importance of garment
digitalization for digital human creation. Recent advances in 3D content creation are pivotal …

This paper aims to recover object materials from posed images captured under an unknown
static lighting condition. Recent methods solve this task by optimizing material parameters …

Existing text-based 3D generation methods generate attractive results but lack detailed
geometry control. Sketches, known for their conciseness and expressiveness, have …