thu-ml/prolificdreamer

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Updated 12 months ago

thu-ml/prolificdreamer

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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

ProlificDreamer

Offical implementation of the paper ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

Code will be released soon.

BibTeX

@article{wang2023prolificdreamer,
  title={ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation},
  author={Zhengyi Wang and Cheng Lu and Yikai Wang and Fan Bao and Chongxuan Li and Hang Su and Jun Zhu},
  journal={arXiv preprint arXiv:2305.16213},
  year={2023}
}

tianshou

An elegant PyTorch deep reinforcement learning library.

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

unidiffuser

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

CRM

[ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.

ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

SageAttention

Quantized Attention that achieves speedups of 2.1x and 2.7x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models.

controlvideo

Official implementation for "ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing"

warplda

Cache efficient implementation for Latent Dirichlet Allocation

3D_Corruptions_AD

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023

low-bit-optimizers

Low-bit optimizers for PyTorch

MMTrustEval

A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)

stochastic_gcn

Stochastic training of graph convolutional networks

RoboticsDiffusionTransformer

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Attack-Bard

DPM-Solver-v3

Official code for "DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics" (NeurIPS 2023)

tianshou-docs-zh_CN

天授中文文档

Prior-Guided-RGF

zh-clip

SRPO

Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).

vflow

Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)

AT3D

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition, CVPR 2023, Highlight

implicit-normalizing-flows

Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)

HiDe-Prompt

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)

BigTopicModel

Big Topic Model is a fast engine for running large-scale Topic Models.

NUNO

[ICML 2023] Non-Uniform Neural Operator (NUNO)

IODF

fpovi

Code for "Function Space Particle Optimization for Bayesian Neural Networks"

CF-UIcA

Code for "Collaborative Filtering with User-Item Co-Autoregressive Models"

Zhusuan-Jittor

Zhusuan with backend Jittor

LM-Calibration

mmdcgm-ssl

mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning

Zhusuan-PaddlePaddle

Zhusuan with backend PaddlePaddle

ood-dgm

MEM_DGM

Code for "Learning to Generate with Memory"

ProbML-book-solution

Jupyter Notebook

adversarial_training_imagenet

pmd

Population matching discrepancy

CEURL

Official implementation for "PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning" (NeurIPS 2024)

VCAS

Official code for "Efficient Backpropagation with Variance Controlled Adaptive Sampling" (ICLR 2024)

imagenet-a-plus

wmvl

Code for "A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models"

Jupyter Notebook

sEM-vr

code for pLSA and LDA in the paper "Stochastic Expectation Maximization with Variance Reduction"

Efficient-Diffusion-Alignment

Official Codebase for "Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control" (NeurIPS 2024)

Noise-Contrastive-Alignment

Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards"

i-DODE

Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)

CCA

Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"

ACTNN-PaddlePaddle

DBIM

Official codebase for "Diffusion Bridge Implicit Models" (https://arxiv.org/abs/2405.15885).

Jetfire-INT8Training

Jupyter Notebook