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Generating 3D Models with Diffusion - Computerphile
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
Diffuser: Multi-View 2D-to-3D Label Diffusion for Semantic Scene Segmentation
[CVPR 2023 Highlight] | RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
CVPR 2024 - MatFuse: Controllable Material Generation with Diffusion Models
Controllable and Consistent Human Image Animation with 3D Parametric Guidance
RigNeRF: Fully Controllable Neural 3D Portraits
FULL Perspective Control - ControlNET in Automatic 1111 - Stable Diffusion
ICCV 2023 - Unaligned 2D to 3D Translation with Conditional VQ Code Diffusion using Transformers
Sketch2CT: Multimodal Diffusion for Structure-Aware 3D Medical Volume Generation
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Last Updated: October 2, 2026
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. . . Discord: discord.gg/pPAFwndTJd arxiv.org/pdf/2304.06700.pdf ... Project page: alexeybokhovkin.github.io/scenefactor/ We present SceneFactor, a In this AI Research Roundup episode, Alex discusses the paper: 'X-Part: high fidelity and structure coherent shape ... In this paper, we introduce DimensionX, a framework designed to generate photorealistic Video of the paper "Diffuser: Multi-View 2D-to- AI Avatar Creation | We propose Rodin Creating high-quality materials in computer graphics is a challenging and time-consuming task, which requires great expertise. In this study, we introduce a methohology for human image animation by leveraging a Use ControlNet in A1111 to have full This video introduces the motivation, methodology, experimental results, and interactive generation concept of Sketch2CT, ...