A Collection of Papers and Codes for CVPR2024 AIGC
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Updated
Jun 7, 2024
A Collection of Papers and Codes for CVPR2024 AIGC
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
This is an open collection of state-of-the-art (SOTA), novel Text to X (X can be everything) methods (papers, codes and datasets).
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Official implementation of Bootstrap3D: Improving 3D Content Creation with Synthetic Data
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models; 3D generative fundamental models using NeurCF
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
Official implementation of "Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting"
💡 PseudoDiffusers: paper/code review and experimental findings related to computer vision generation and diffusion-based models
An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.
A Collection of AIGC Research Groups
Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
Official implentation of "Ghost on the Shell: An Expressive Representation of General 3D Shapes" (ICLR 2024 Oral)
[ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"
Official Code for 'TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes' (CVPR 2024)
[CVPR 2024] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
[CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.
[CVPR 2024] EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
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