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Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers
Recent advancements in 3D reconstruction from single images have been driven by the
evolution of generative models. Prominent among these are methods based on Score …
evolution of generative models. Prominent among these are methods based on Score …
Triposr: Fast 3d object reconstruction from a single image
This technical report introduces TripoSR, a 3D reconstruction model leveraging transformer
architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in …
architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in …
Generative ai meets 3d: A survey on text-to-3d in aigc era
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 …
generation being the most practical as it facilitates interaction between human instructions …
Meshxl: Neural coordinate field for generative 3d foundation models
The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed,
and storage efficiency, which is widely preferred in various applications. However, given its …
and storage efficiency, which is widely preferred in various applications. However, given its …
Llms meet multimodal generation and editing: A survey
With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …
combining LLMs with multimodal learning. Previous surveys of multimodal large language …
Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation
Recent advancements in 2D/3D generative techniques have facilitated the generation of
dynamic 3D objects from monocular videos. Previous methods mainly rely on the implicit …
dynamic 3D objects from monocular videos. Previous methods mainly rely on the implicit …
Physics3d: Learning physical properties of 3d gaussians via video diffusion
In recent years, there has been rapid development in 3D generation models, opening up
new possibilities for applications such as simulating the dynamic movements of 3D objects …
new possibilities for applications such as simulating the dynamic movements of 3D objects …
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
Recent advancements in 3D content generation have been significant, primarily due to the
visual priors provided by pretrained diffusion models. However, large 2D visual models …
visual priors provided by pretrained diffusion models. However, large 2D visual models …
Livescene: Language embedding interactive radiance fields for physical scene rendering and control
This paper scales object-level reconstruction to complex scenes, advancing interactive
scene reconstruction. We introduce two datasets, OmniSim and InterReal, featuring 28 …
scene reconstruction. We introduce two datasets, OmniSim and InterReal, featuring 28 …
Embracing radiance field rendering in 6G: Over-the-air training and inference with 3D contents
The efficient representation, transmission, and reconstruction of three-dimensional (3D)
contents are becoming increasingly important for sixth-generation (6G) networks that aim to …
contents are becoming increasingly important for sixth-generation (6G) networks that aim to …