State of the art on diffusion models for visual computing
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
Magic3d: High-resolution text-to-3d content creation
Recently, DreamFusion demonstrated the utility of a pretrained text-to-image diffusion model
to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis …
to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis …
One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization
Single image 3D reconstruction is an important but challenging task that requires extensive
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
Latent-nerf for shape-guided generation of 3d shapes and textures
Text-guided image generation has progressed rapidly in recent years, inspiring major
breakthroughs in text-guided shape generation. Recently, it has been shown that using …
breakthroughs in text-guided shape generation. Recently, it has been shown that using …
Lion: Latent point diffusion models for 3d shape generation
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
Shap-e: Generating conditional 3d implicit functions
H Jun, A Nichol - arXiv preprint arXiv:2305.02463, 2023 - arxiv.org
We present Shap-E, a conditional generative model for 3D assets. Unlike recent work on 3D
generative models which produce a single output representation, Shap-E directly generates …
generative models which produce a single output representation, Shap-E directly generates …
Text-to-3d using gaussian splatting
Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the
optimization of volume rendering has achieved remarkable progress in synthesizing realistic …
optimization of volume rendering has achieved remarkable progress in synthesizing realistic …
One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion
Recent advancements in open-world 3D object generation have been remarkable with
image-to-3D methods offering superior fine-grained control over their text-to-3D …
image-to-3D methods offering superior fine-grained control over their text-to-3D …
Multimodal learning with transformers: A survey
Transformer is a promising neural network learner, and has achieved great success in
various machine learning tasks. Thanks to the recent prevalence of multimodal applications …
various machine learning tasks. Thanks to the recent prevalence of multimodal applications …
Dream3d: Zero-shot text-to-3d synthesis using 3d shape prior and text-to-image diffusion models
Recent CLIP-guided 3D optimization methods, such as DreamFields and PureCLIPNeRF,
have achieved impressive results in zero-shot text-to-3D synthesis. However, due to scratch …
have achieved impressive results in zero-shot text-to-3D synthesis. However, due to scratch …