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Here is my selection of papers for today
Here is my selection of papers for today
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https://huggingface.co/papers
https://huggingface.co/papers
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Compact Neural Graphics Primitives with Learned Hash Probing
Compact Neural Graphics Primitives with Learned Hash Probing
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Restoration by Generation with Constrained Priors
Restoration by Generation with Constrained Priors
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SSR-Encoder: Encoding Selective Subject 
SSR-Encoder: Encoding Selective Subject 
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Representation for Subject-Driven Generation
Representation for Subject-Driven Generation
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Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks
Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks
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InsActor: Instruction-driven Physics-based Characters
InsActor: Instruction-driven Physics-based Characters
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Unsupervised Universal Image Segmentation
Unsupervised Universal Image Segmentation
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Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
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DreamGaussian4D: Generative 4D Gaussian Splatting
DreamGaussian4D: Generative 4D Gaussian Splatting
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City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
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DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
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DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaption by Combining 3D GANs and Diffusion Priors
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaption by Combining 3D GANs and Diffusion Priors
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Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
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Prompt Expansion for Adaptive Text-to-Image Generation
Prompt Expansion for Adaptive Text-to-Image Generation
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PanGu-Draw
PanGu-Draw
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I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
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The LLM Surgeon
The LLM Surgeon
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MathPile: A Billion-Token-Scale Pretraining Corpus for Math
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
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MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices
MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices
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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Here is my selection of papers for today

https://huggingface.co/papers

Compact Neural Graphics Primitives with Learned Hash Probing

Restoration by Generation with Constrained Priors
SSR-Encoder: Encoding Selective Subject 

Representation for Subject-Driven Generation

Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks

InsActor: Instruction-driven Physics-based Characters
Unsupervised Universal Image Segmentation

Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis

DreamGaussian4D: Generative 4D Gaussian Splatting

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaption by Combining 3D GANs and Diffusion Priors

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Prompt Expansion for Adaptive Text-to-Image Generation

PanGu-Draw

I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models

The LLM Surgeon

MathPile: A Billion-Token-Scale Pretraining Corpus for Math

MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
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