Topic: controllable-generation Goto Github
Some thing interesting about controllable-generation
Some thing interesting about controllable-generation
controllable-generation,Stay upto date with recent papers in the field!
User: arka-h
controllable-generation,
Organization: biomedia-mbzuai
controllable-generation,Controllable mage captioning model with unsupervised modes
User: bladewaltz1
controllable-generation,Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled, TMLR 2024
User: chao1224
Home Page: https://chao1224.github.io/GraphCG
controllable-generation,PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
Organization: ermongroup
Home Page: https://sde-image-editing.github.io/
controllable-generation,An implementation of ControlNet as described in "Adding Conditional Control to Text-to-Image Diffusion Models" published by Zhang et al.
User: faverogian
controllable-generation,Official PyTorch Implementation for InfoSwap
User: ggghsl
controllable-generation,This repository contains the implementation of the project: "Controlling DDPMs and VAEs through EBMs" for the Deep Generative Models class @ UIC
User: gio99c
controllable-generation,Code for "Data-to-text Generation with Style Imitation." [Findings of EMNLP 2020]
User: ha-lins
controllable-generation,[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
User: hancyran
Home Page: https://lidar-diffusion.github.io/
controllable-generation,Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.
User: haofanwang
controllable-generation,[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
User: imkett
Home Page: https://arxiv.org/abs/2205.05862
controllable-generation,[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
User: imkett
controllable-generation,[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation
User: imkett
controllable-generation,Using diffusion model to reach controllable end-to-end driving with Carla simulation environment.
User: justin900429
controllable-generation,awesome-LLM-controlled-constrained-generation
User: jxzhangjhu
Home Page: https://github.com/jxzhangjhu/awesome-LLM-controlled-constrained-generation
controllable-generation,A curated list of resources of audio-driven talking face generation
User: kangweiiliu
controllable-generation,Source code of our TACL paper "Controllable Summarization with Constrained Markov Decision Process"
User: kenchan0226
controllable-generation,Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
User: kpandey008
controllable-generation,PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models
User: labshuhanggu
Home Page: https://perldiff.github.io/
controllable-generation,[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.
User: myniuuu
Home Page: https://myniuuu.github.io/MOFA_Video
controllable-generation,[ECCV 2024] AnyControl, a multi-control image synthesis model that supports any combination of user provided control signals. 一个支持用户自由输入控制信号的图像生成模型,能够根据多种控制生成自然和谐的结果!
Organization: open-mmlab
Home Page: https://any-control.github.io/
controllable-generation,StyleShot: A SnapShot on Any Style. 一款可以迁移任意风格到任意内容的模型,无需针对图片微调,即能生成高质量的个性风格化图片!
Organization: open-mmlab
Home Page: https://styleshot.github.io/
controllable-generation,Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.
User: parikshitkumar1
controllable-generation,A collection of resources on controllable generation with text-to-image diffusion models.
Organization: priv-creation
controllable-generation, [ICME2023, oral] CCLAP: Controllable Chinese Landscape Painting generation
User: robin-wzq
controllable-generation,[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".
User: samxuxiang
controllable-generation,Implementing a Wassertein GAN with gradient penalty in pytorch
User: shubhe25p
controllable-generation,[EMNLP2022] BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
Organization: stonybrooknlp
Home Page: https://StonyBrookNLP.github.io/BioNLI
controllable-generation, [ACL2023] NeuroStructural Decoding: Neural Text Generation with Structural Constraints
Organization: stonybrooknlp
Home Page: https://StonyBrookNLP.github.io/NeuroStructuralDecoding
controllable-generation,Code for CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models
User: styfeng
Home Page: https://aclanthology.org/2023.eacl-main.24/
controllable-generation,Code for SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation (https://aclanthology.org/2021.inlg-1.21/) INLG 2021 Best Long Paper.
User: styfeng
Home Page: https://aclanthology.org/2021.inlg-1.21/
controllable-generation,Code for SMERTI for Semantic Text Exchange.
User: styfeng
Home Page: https://www.aclweb.org/anthology/D19-1272/
controllable-generation,Code for my Bachelor thesis on Semantic Image Synthesis with Score-Based Generative Models
User: tim-kuechler
controllable-generation,Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
User: ttengwang
controllable-generation,Implementation of Collage Diffusion (https://arxiv.org/abs/2303.00262)
User: vsanimator
controllable-generation,Official implementation of "Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting"
Organization: wu-cvgl
Home Page: https://lizhiqi49.github.io/MVControl/
controllable-generation,Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
User: yang-song
Home Page: https://arxiv.org/abs/2011.13456
controllable-generation,PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
User: yang-song
Home Page: https://arxiv.org/abs/2011.13456
controllable-generation,TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
User: yuweiyin
Home Page: https://arxiv.org/abs/2304.08821
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