Loading video...

Video Failed to Load

Go Home

This is RICULOUSLY good, TRELLIS 3D Generation model by Microsoft! ๐Ÿ”ฅ Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!

reach_vb's profile picture

Vaibhav (VB) Srivastav

47,652 subscribers

62,433 views โ€ข 1 year ago โ€ขvia X (Twitter)

ArtsScience & Technology
LIVE

Anya Rossiโ€ข Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Today, weโ€™re introducing Metaโ€™s latest 3D foundation model, AssetGen 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:
0:17

Today, weโ€™re introducing Metaโ€™s latest 3D foundation model, AssetGen 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:

Jake Steinerman ๐ŸŒŽ

92,257 views โ€ข 1 year ago

DreamCraft3D++ can generate animatable high-quality 3D assets from an image in 10 minutes! Yes, it supports meshes ๐Ÿ”ฅ Links โฌ‡๏ธ
0:16

DreamCraft3D++ can generate animatable high-quality 3D assets from an image in 10 minutes! Yes, it supports meshes ๐Ÿ”ฅ Links โฌ‡๏ธ

Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘

59,017 views โ€ข 1 year ago

NVIDIA introduces Edify 3D AI model You can generate high quality 3D assets from text or image input under 2 minutes! With PBR materials, quad-mesh topologies, and 4k textures. 6 wild examples:
0:18

NVIDIA introduces Edify 3D AI model You can generate high quality 3D assets from text or image input under 2 minutes! With PBR materials, quad-mesh topologies, and 4k textures. 6 wild examples:

Min Choi

398,968 views โ€ข 1 year ago

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D models. And you can do it on this Hugging Face space for free.
0:11

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D models. And you can do it on this Hugging Face space for free.

Rohan Paul

222,392 views โ€ข 9 months ago

Microsoft TRELLIS.2 is here ๐Ÿ”ฅ โ€ข Single image โ†’ textured 3D mesh โ€ข 4B params, flow-matching transformer โ€ข Up to 1536ยณ resolution โ€ข Open weights, MIT licensed โฌ‡๏ธ Demo available on Hugging Face
0:12

Microsoft TRELLIS.2 is here ๐Ÿ”ฅ โ€ข Single image โ†’ textured 3D mesh โ€ข 4B params, flow-matching transformer โ€ข Up to 1536ยณ resolution โ€ข Open weights, MIT licensed โฌ‡๏ธ Demo available on Hugging Face

Victor M

194,309 views โ€ข 5 months ago

Introducing ๐Ÿ“ฆ๐—”๐—ฟ๐˜๐—ถ๐—Ÿ๐—ฎ๐˜๐—ฒ๐—ป๐˜๐Ÿ”ง (SIGGRAPH Asia 2025) โ€” a high-quality 3D diffusion model that explicitly models object articulation, paving the way for richer, more realistic assets in embodied AI and simulation: โ€“ Generates fully articulated 3D objects โ€“ Physically plausible joints & motion โ€“ High-fidelity 3D Gaussian appearance โ€“ Supports generation from a single real image arXiv: Project: Code (coming soon):
0:16

Introducing ๐Ÿ“ฆ๐—”๐—ฟ๐˜๐—ถ๐—Ÿ๐—ฎ๐˜๐—ฒ๐—ป๐˜๐Ÿ”ง (SIGGRAPH Asia 2025) โ€” a high-quality 3D diffusion model that explicitly models object articulation, paving the way for richer, more realistic assets in embodied AI and simulation: โ€“ Generates fully articulated 3D objects โ€“ Physically plausible joints & motion โ€“ High-fidelity 3D Gaussian appearance โ€“ Supports generation from a single real image arXiv: Project: Code (coming soon):

Xingang Pan

11,473 views โ€ข 6 months ago

Hereโ€™s how to create this cool 3D scene from a single image! ๐Ÿ“ธ Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)
0:13

Hereโ€™s how to create this cool 3D scene from a single image! ๐Ÿ“ธ Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)

Ian Curtis

117,646 views โ€ข 1 year ago

Roblox just casually dropped a app for Cube 3D on Hugging Face generates 3D models directly from text
0:18

Roblox just casually dropped a app for Cube 3D on Hugging Face generates 3D models directly from text

AK

53,525 views โ€ข 1 year ago

Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.
0:18

Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.

AK

69,542 views โ€ข 2 years ago

2025 is year of 3D AI Rodin AI 1.5 now can not only generate 3D model with clean meshes but also create high quality textures You can export all the models to 3D software to create a new world
0:18

2025 is year of 3D AI Rodin AI 1.5 now can not only generate 3D model with clean meshes but also create high quality textures You can export all the models to 3D software to create a new world

el.cine

92,524 views โ€ข 1 year ago

(1/2) Check out ๐†๐š๐ฎ๐ฌ๐ฌ๐ข๐š๐ง๐€๐ฏ๐š๐ญ๐š๐ซ๐ฌ: Photorealistic Head Avatars with Rigged 3D Gaussians! We create photorealistic head avatars by animating 3D Gaussians on a parametric face model - edited and rendered in *real-time*!
0:14

(1/2) Check out ๐†๐š๐ฎ๐ฌ๐ฌ๐ข๐š๐ง๐€๐ฏ๐š๐ญ๐š๐ซ๐ฌ: Photorealistic Head Avatars with Rigged 3D Gaussians! We create photorealistic head avatars by animating 3D Gaussians on a parametric face model - edited and rendered in *real-time*!

Matthias Niessner

126,949 views โ€ข 2 years ago

Progressive Rendering Distillation released on Hugging Face Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
0:20

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

AK

12,586 views โ€ข 1 year ago

Meta dropped not just SAM-3 yesterday but also SAM-3D (for objects and humans)๐Ÿคฏ SAM 3D Body is a promptable model for recovering full-body 3D human meshes from a single image. Seems to be the new SOTA
0:16

Meta dropped not just SAM-3 yesterday but also SAM-3D (for objects and humans)๐Ÿคฏ SAM 3D Body is a promptable model for recovering full-body 3D human meshes from a single image. Seems to be the new SOTA

Niels Rogge

125,065 views โ€ข 6 months ago

๐Ÿšจ TRELLIS.2 is now live on fal! ๐ŸŽฏ Image-to-3D model producing up to 1536ยณ PBR textured assets ๐ŸŽจ Handles arbitrary topology with rich PBR textures (Base Color, Metallic, Roughness, Alpha) โšก 16ร— spatial compression for efficient, scalable, high-fidelity asset generation
0:11

๐Ÿšจ TRELLIS.2 is now live on fal! ๐ŸŽฏ Image-to-3D model producing up to 1536ยณ PBR textured assets ๐ŸŽจ Handles arbitrary topology with rich PBR textures (Base Color, Metallic, Roughness, Alpha) โšก 16ร— spatial compression for efficient, scalable, high-fidelity asset generation

fal

32,588 views โ€ข 5 months ago

Minecraft 3D generation now at the highest quality ever, built using fal โ›๏ธ Text โ†’ Image (nano-banana-pro) โ†’ 3D mesh (Hunyuan 3D v3.1) โ†’ Voxelize โ†’ Texture mapping โ†’ Minecraft structure!
0:17

Minecraft 3D generation now at the highest quality ever, built using fal โ›๏ธ Text โ†’ Image (nano-banana-pro) โ†’ 3D mesh (Hunyuan 3D v3.1) โ†’ Voxelize โ†’ Texture mapping โ†’ Minecraft structure!

Blendi

490,469 views โ€ข 2 months ago

๐Ÿ“ข๐Ÿš—โœจ Excited to announce InfiniCube, our scalable generative model for dynamic 3D driving scene generation with high fidelity and controllability! InfiniCube generates very large-scale (300mร—400m ~ 100,000m^2), dynamic 3D driving scenes given HD maps, 3D bounding boxes, and text prompts as controls. Website: Props to Yifan Lu for leading this project!!!! [1/N]
0:16

๐Ÿ“ข๐Ÿš—โœจ Excited to announce InfiniCube, our scalable generative model for dynamic 3D driving scene generation with high fidelity and controllability! InfiniCube generates very large-scale (300mร—400m ~ 100,000m^2), dynamic 3D driving scenes given HD maps, 3D bounding boxes, and text prompts as controls. Website: Props to Yifan Lu for leading this project!!!! [1/N]

Xuanchi Ren

26,586 views โ€ข 1 year ago

Hi3DGen ๐Ÿ”ฅ High-fidelity 3D geometry generation from a single image by leveraging normal maps as an intermediate representation
0:15

Hi3DGen ๐Ÿ”ฅ High-fidelity 3D geometry generation from a single image by leveraging normal maps as an intermediate representation

Gradio

50,996 views โ€ข 1 year ago

As announced in partnership with NVIDIA at CES, weโ€™re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)
0:13

As announced in partnership with NVIDIA at CES, weโ€™re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

Stability AI

181,402 views โ€ข 1 year ago

Google presents LayoutVLM a model that can generate 3D layouts from text instructions
0:13

Google presents LayoutVLM a model that can generate 3D layouts from text instructions

Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘

27,205 views โ€ข 1 year ago