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Collections including paper arxiv:2406.17711

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 86
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 24
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27 • 25
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26 • 16

Papers - Image - Training - Optimization - SigLIP

Data curation via joint example selection further accelerates multimodal learning

Paper • 2406.17711 • Published Jun 25 • 3

Papers - Multimodal - Training - Joint Example Selection

Data curation via joint example selection further accelerates multimodal learning

Paper • 2406.17711 • Published Jun 25 • 3

Papers - Image - Datasets - LAION

MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10 • 64
Data curation via joint example selection further accelerates multimodal learning

Paper • 2406.17711 • Published Jun 25 • 3
Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22 • 21
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 84
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16 • 17
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14 • 26

Synthetic Data and Self-Improvement

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 144
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 41
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 28

Papers - Image - Encoders - ViT

DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

Paper • 2404.06903 • Published Apr 10 • 18
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models

Paper • 2404.17672 • Published Apr 26 • 18

Papers - Image - Coco Testing

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Paper • 2310.03502 • Published Oct 5, 2023 • 77
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11 • 11
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 30
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12 • 27

Papers - Multimodal - Training

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25
Data curation via joint example selection further accelerates multimodal learning

Paper • 2406.17711 • Published Jun 25 • 3
Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

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