SOTAVerified

3D Generation

Papers

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Showing 301–350 of 430 papers

TitleStatusHype
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation—0
GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation—0
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D GenerationCode3
AGG: Amortized Generative 3D Gaussians for Single Image to 3D—0
Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human—0
SIGNeRF: Scene Integrated Generation for Neural Radiance Fields—0
SPAD: Spatially Aware Multi-View Diffusers—0
Taming Mode Collapse in Score Distillation for Text-to-3D Generation—0
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors—0
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3DCode1
Make-A-Character: High Quality Text-to-3D Character Generation within Minutes—0
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation—0
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D RepaintingCode2
Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation—0
VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder—0
Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior—0
Plasticine3D: 3D Non-Rigid Editing with Text Guidance by Multi-View Embedding Optimization—0
MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation—0
Stable Score Distillation for High-Quality 3D Generation—0
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion—0
Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints—0
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation—0
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning—0
Mosaic-SDF for 3D Generative Models—0
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain GenerationCode1
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation—0
DreamControl: Control-Based Text-to-3D Generation with 3D Self-PriorCode1
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D PriorCode1
CAD: Photorealistic 3D Generation via Adversarial Distillation—0
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation—0
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting—0
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation—0
Alpha-CLIP: A CLIP Model Focusing on Wherever You WantCode2
TPA3D: Triplane Attention for Fast Text-to-3D Generation—0
Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent—0
GPT4Point: A Unified Framework for Point-Language Understanding and GenerationCode2
ImageDream: Image-Prompt Multi-view Diffusion for 3D GenerationCode2
ControlDreamer: Blending Geometry and Style in Text-to-3D—0
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D—0
LucidDreaming: Controllable Object-Centric 3D Generation—0
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D GenerationCode1
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D GenerationCode2
CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting—0
DreamPropeller: Supercharge Text-to-3D Generation with Parallel SamplingCode1
HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion—0
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D—0
ET3D: Efficient Text-to-3D Generation via Multi-View Distillation—0
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion—0
MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D GenerationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MDMFD_ClaTr6.79—Unverified
2DIRECTOR BFD_ClaTr6.1—Unverified
3DIRECTOR AFD_ClaTr3.88—Unverified
4DIRECTOR CFD_ClaTr3.76—Unverified