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[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang
[CVPR 2023, Highlight] "NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis (ECCV 2024)
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
A unified framework for 3D content generation.
[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image …
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Video+code lecture on building nanoGPT from scratch
2024 Gaussian Splatting Paper List(Arxiv)
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Official Code and Dataset for "High-fidelity 3D Human Digitization from Single 2K Resolution Images" (CVPR 2023 Highlight)
Diffusion model papers, survey, and taxonomy
The repo for studying and sharing diffusion models.
🔥Highlighting the top ML papers every week.
Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt
A library for differentiable nonlinear optimization