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Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Paper • 2402.10210 • Published • 35 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Paper • 2308.04079 • Published • 192
Collections
Discover the best community collections!
Collections including paper arXiv:2403.14613
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PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
WARM: On the Benefits of Weight Averaged Reward Models
Paper • 2401.12187 • Published • 19 -
RewardBench: Evaluating Reward Models for Language Modeling
Paper • 2403.13787 • Published • 22 -
DreamReward: Text-to-3D Generation with Human Preference
Paper • 2403.14613 • Published • 37
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Measuring the Effects of Data Parallelism on Neural Network Training
Paper • 1811.03600 • Published • 2 -
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Paper • 1804.04235 • Published • 2 -
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Paper • 1905.11946 • Published • 3 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 65
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DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
Paper • 2311.18635 • Published -
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
Paper • 2401.14828 • Published • 10 -
ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields
Paper • 2401.17895 • Published • 16 -
Advances in 3D Generation: A Survey
Paper • 2401.17807 • Published • 19
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ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
Paper • 2403.01807 • Published • 9 -
TripoSR: Fast 3D Object Reconstruction from a Single Image
Paper • 2403.02151 • Published • 16 -
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Paper • 2403.01779 • Published • 30 -
MagicClay: Sculpting Meshes With Generative Neural Fields
Paper • 2403.02460 • Published • 8
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3D-aware Image Generation using 2D Diffusion Models
Paper • 2303.17905 • Published • 2 -
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Paper • 2310.08529 • Published • 18 -
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Paper • 2310.16818 • Published • 32 -
HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
Paper • 2312.04543 • Published • 22
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One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Paper • 2306.07967 • Published • 25 -
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Paper • 2306.07954 • Published • 111 -
TryOnDiffusion: A Tale of Two UNets
Paper • 2306.08276 • Published • 74 -
Seeing the World through Your Eyes
Paper • 2306.09348 • Published • 33
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Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Paper • 2402.10210 • Published • 35 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Paper • 2308.04079 • Published • 192
-
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
WARM: On the Benefits of Weight Averaged Reward Models
Paper • 2401.12187 • Published • 19 -
RewardBench: Evaluating Reward Models for Language Modeling
Paper • 2403.13787 • Published • 22 -
DreamReward: Text-to-3D Generation with Human Preference
Paper • 2403.14613 • Published • 37
-
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
Paper • 2403.01807 • Published • 9 -
TripoSR: Fast 3D Object Reconstruction from a Single Image
Paper • 2403.02151 • Published • 16 -
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Paper • 2403.01779 • Published • 30 -
MagicClay: Sculpting Meshes With Generative Neural Fields
Paper • 2403.02460 • Published • 8
-
Measuring the Effects of Data Parallelism on Neural Network Training
Paper • 1811.03600 • Published • 2 -
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Paper • 1804.04235 • Published • 2 -
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Paper • 1905.11946 • Published • 3 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 65
-
3D-aware Image Generation using 2D Diffusion Models
Paper • 2303.17905 • Published • 2 -
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Paper • 2310.08529 • Published • 18 -
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Paper • 2310.16818 • Published • 32 -
HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
Paper • 2312.04543 • Published • 22
-
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
Paper • 2311.18635 • Published -
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
Paper • 2401.14828 • Published • 10 -
ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields
Paper • 2401.17895 • Published • 16 -
Advances in 3D Generation: A Survey
Paper • 2401.17807 • Published • 19
-
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Paper • 2306.07967 • Published • 25 -
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Paper • 2306.07954 • Published • 111 -
TryOnDiffusion: A Tale of Two UNets
Paper • 2306.08276 • Published • 74 -
Seeing the World through Your Eyes
Paper • 2306.09348 • Published • 33