Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Progressive Rendering Distillation released on Hugging Face Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data

_akhaliq's profile picture

AK

394,430 subscribers

12,586 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

try out the Gradio Demo for AudioLDM: Text-to-Audio Generation with Latent Diffusion Models on Hugging Face demo:
1:36

try out the Gradio Demo for AudioLDM: Text-to-Audio Generation with Latent Diffusion Models on Hugging Face demo:

AK

82,137 görüntüleme • 3 yıl önce

ActionMesh Animated 3D Mesh Generation with Temporal 3D Diffusion
0:48

ActionMesh Animated 3D Mesh Generation with Temporal 3D Diffusion

AK

11,995 görüntüleme • 4 ay önce

Stability AI just dropped Stable Audio Open Small on Hugging Face Fast Text-to-Audio Generation with Adversarial Post-Training
0:43

Stability AI just dropped Stable Audio Open Small on Hugging Face Fast Text-to-Audio Generation with Adversarial Post-Training

AK

55,100 görüntüleme • 1 yıl önce

Tencent released PrimitiveAnything on Hugging Face Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
3:55

Tencent released PrimitiveAnything on Hugging Face Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer

AK

64,646 görüntüleme • 1 yıl önce

NVIDIA just released AnyFlow on Hugging Face The first any-step video diffusion model that generates high-quality text-to-video with any inference budget - 4 steps or 50, quality scales smoothly without degradation.
1:17

NVIDIA just released AnyFlow on Hugging Face The first any-step video diffusion model that generates high-quality text-to-video with any inference budget - 4 steps or 50, quality scales smoothly without degradation.

DailyPapers

41,469 görüntüleme • 1 ay önce

VideoScene announced on Hugging Face Distilling Video Diffusion Model to Generate 3D Scenes in One Step
0:54

VideoScene announced on Hugging Face Distilling Video Diffusion Model to Generate 3D Scenes in One Step

AK

21,301 görüntüleme • 1 yıl önce

Wait WTF, Hi3DGen app on Hugging Face looks insane for 3D geometry generation
0:25

Wait WTF, Hi3DGen app on Hugging Face looks insane for 3D geometry generation

AK

95,371 görüntüleme • 1 yıl önce

AccVideo just dropped on Hugging Face Accelerating Video Diffusion Model with Synthetic Dataset present a efficient distillation method to accelerate video diffusion models with synthetic dataset method is 8.5x faster than HunyuanVideo
1:04

AccVideo just dropped on Hugging Face Accelerating Video Diffusion Model with Synthetic Dataset present a efficient distillation method to accelerate video diffusion models with synthetic dataset method is 8.5x faster than HunyuanVideo

AK

20,633 görüntüleme • 1 yıl önce

Can we use video diffusion to generate 3D scenes? 𝐖𝐨𝐫𝐥𝐝𝐄𝐱𝐩𝐥𝐨𝐫𝐞𝐫 (#SIGGRAPHAsia25) creates fully-navigable scenes via autoregressive video generation. Text input -> 3DGS scene output & interactive rendering! 🌍 📽️
0:28

Can we use video diffusion to generate 3D scenes? 𝐖𝐨𝐫𝐥𝐝𝐄𝐱𝐩𝐥𝐨𝐫𝐞𝐫 (#SIGGRAPHAsia25) creates fully-navigable scenes via autoregressive video generation. Text input -> 3DGS scene output & interactive rendering! 🌍 📽️

Matthias Niessner

30,777 görüntüleme • 9 ay önce

Excited to share Norman Müller's DiffRF: Rendering-guided 3D Radiance Field Diffusion #CVPR2023 highlight! 2D diffusion is great, but what about 3D? We show radiance field diffusion with rendering guidance for consistent and editable 3D synthesis. Vid:
0:27

Excited to share Norman Müller's DiffRF: Rendering-guided 3D Radiance Field Diffusion #CVPR2023 highlight! 2D diffusion is great, but what about 3D? We show radiance field diffusion with rendering guidance for consistent and editable 3D synthesis. Vid:

Matthias Niessner

117,759 görüntüleme • 3 yıl önce

MV-Adapter 3D texture generation apps just dropped on Hugging Face
0:30

MV-Adapter 3D texture generation apps just dropped on Hugging Face

AK

135,407 görüntüleme • 1 yıl önce

Nvidia presents ConsiStory Training-Free Consistent Text-to-Image Generation paper page: enable Stable Diffusion XL (SDXL) to generate consistent subjects across a series of images, without additional training.
1:01

Nvidia presents ConsiStory Training-Free Consistent Text-to-Image Generation paper page: enable Stable Diffusion XL (SDXL) to generate consistent subjects across a series of images, without additional training.

AK

161,673 görüntüleme • 2 yıl önce

MotionStreamer announced on Hugging Face Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
0:40

MotionStreamer announced on Hugging Face Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space

AK

43,387 görüntüleme • 1 yıl önce

MVDream: Multi-view Diffusion for 3D Generation paper page: propose MVDream, a multi-view diffusion model that is able to generate geometrically consistent multi-view images from a given text prompt. By leveraging image diffusion models pre-trained on large-scale web datasets and a multi-view dataset rendered from 3D assets, the resulting multi-view diffusion model can achieve both the generalizability of 2D diffusion and the consistency of 3D data. Such a model can thus be applied as a multi-view prior for 3D generation via Score Distillation Sampling, where it greatly improves the stability of existing 2D-lifting methods by solving the 3D consistency problem. Finally, we show that the multi-view diffusion model can also be fine-tuned under a few shot setting for personalized 3D generation, i.e. DreamBooth3D application, where the consistency can be maintained after learning the subject identity.
0:44

MVDream: Multi-view Diffusion for 3D Generation paper page: propose MVDream, a multi-view diffusion model that is able to generate geometrically consistent multi-view images from a given text prompt. By leveraging image diffusion models pre-trained on large-scale web datasets and a multi-view dataset rendered from 3D assets, the resulting multi-view diffusion model can achieve both the generalizability of 2D diffusion and the consistency of 3D data. Such a model can thus be applied as a multi-view prior for 3D generation via Score Distillation Sampling, where it greatly improves the stability of existing 2D-lifting methods by solving the 3D consistency problem. Finally, we show that the multi-view diffusion model can also be fine-tuned under a few shot setting for personalized 3D generation, i.e. DreamBooth3D application, where the consistency can be maintained after learning the subject identity.

AK

294,442 görüntüleme • 2 yıl önce

EasyControl just dropped on Hugging Face Adding Efficient and Flexible Control for Diffusion Transformer Free chatgpt style ghibli image generation with easy control
0:34

EasyControl just dropped on Hugging Face Adding Efficient and Flexible Control for Diffusion Transformer Free chatgpt style ghibli image generation with easy control

AK

222,134 görüntüleme • 1 yıl önce

Step1X-3D is out on Hugging Face Towards High-Fidelity and Controllable Generation of Textured 3D Assets
0:45

Step1X-3D is out on Hugging Face Towards High-Fidelity and Controllable Generation of Textured 3D Assets

AK

79,559 görüntüleme • 1 yıl önce

Roblox just released Cube on Hugging Face A Roblox View of 3D Intelligence
0:44

Roblox just released Cube on Hugging Face A Roblox View of 3D Intelligence

AK

153,799 görüntüleme • 1 yıl önce

DiffPortrait360 just dropped on Hugging Face Consistent Portrait Diffusion for 360 View Synthesis
0:49

DiffPortrait360 just dropped on Hugging Face Consistent Portrait Diffusion for 360 View Synthesis

AK

57,593 görüntüleme • 1 yıl önce

Nvidia just released Cosmos-Transfer1 on Hugging Face Conditional World Generation with Adaptive Multimodal Control
2:06

Nvidia just released Cosmos-Transfer1 on Hugging Face Conditional World Generation with Adaptive Multimodal Control

AK

93,048 görüntüleme • 1 yıl önce

Introducing Cube 2.0, a significant step towards controllable 3D game-world and video generation from any input. Powered by: 🌟 Image-to-3D in seconds w/ a new foundation model 🐎 Text-to-animation 🌎 AI rendering to create beautiful worlds (mesh+splats) Web app → Discord → Blog →
1:11

Introducing Cube 2.0, a significant step towards controllable 3D game-world and video generation from any input. Powered by: 🌟 Image-to-3D in seconds w/ a new foundation model 🐎 Text-to-animation 🌎 AI rendering to create beautiful worlds (mesh+splats) Web app → Discord → Blog →

Common Sense Machines

411,366 görüntüleme • 2 yıl önce