text
Here is my selection of papers for today (5 Jan)
Here is my selection of papers for today (5 Jan)
new_line
new_line
link
https://huggingface.co/papers
https://huggingface.co/papers
new_line
new_line
text
Learning the 3D Fauna of the Web
Learning the 3D Fauna of the Web
new_line
new_line
text
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
new_line
new_line
text
Improving Diffusion-Based Image Synthesis with Context Prediction
Improving Diffusion-Based Image Synthesis with Context Prediction
new_line
new_line
text
LLaMA Pro: Progressive LLaMA with Block Expansion
LLaMA Pro: Progressive LLaMA with Block Expansion
new_line
new_line
text
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
new_line
new_line
text
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
new_line
new_line
text
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
new_line
new_line
text
TinyLlama: An Open-Source Small Language Model
TinyLlama: An Open-Source Small Language Model
new_line
new_line
text
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
new_line
new_line
text
LLM Augmented LLMs: Expanding Capabilities through Composition
LLM Augmented LLMs: Expanding Capabilities through Composition
new_line
new_line
text
ODIN: A Single Model for 2D and 3D Perception
ODIN: A Single Model for 2D and 3D Perception
new_line
new_line
text
Instruct-Imagen: Image Generation with Multi-modal Instruction
Instruct-Imagen: Image Generation with Multi-modal Instruction
new_line
new_line
text
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers
new_line
new_line
text
Understanding LLMs: A Comprehensive Overview from Training to Inference
Understanding LLMs: A Comprehensive Overview from Training to Inference
new_line
Here is my selection of papers for today (5 Jan)

https://huggingface.co/papers

Learning the 3D Fauna of the Web

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Improving Diffusion-Based Image Synthesis with Context Prediction

LLaMA Pro: Progressive LLaMA with Block Expansion

LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding

TinyLlama: An Open-Source Small Language Model

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs

LLM Augmented LLMs: Expanding Capabilities through Composition

ODIN: A Single Model for 2D and 3D Perception

Instruct-Imagen: Image Generation with Multi-modal Instruction

ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers

Understanding LLMs: A Comprehensive Overview from Training to Inference

👍
m-ric clem merve Gatozu35