Turning 2D Images Into 3D Objects With Meta SAM 3D

Matthew Berman demonstrates object selection, 3D generation and visual effects in a video made in partnership with Meta.

MBMatthew BermanPonente · Forward Future
Canal
Matthew Berman
Publicado
10 ene 2026
Vídeo
1:47
Lectura
1 min
Diapositivas
3
Original
inglés
Abrir en YouTube
Al desplazarte, el vídeo se reduce a la esquina inferior derecha y sigue reproduciéndose. Los subtítulos siguen tu idioma de lectura.
Idioma de lecturaDisponible en 2 idiomas
Este artículo aún no está en español, así que se muestra el original en inglés.
RESUMEN

En 30 segundos

Matthew Berman shows how he used Meta’s SAM 3D to turn a character image into a 3D-printable model, then demonstrates selecting and refining objects in a sample scene. He discloses that Meta partnered with him on the video.

  1. 1From character image to printBerman converts an image of Spike from Brawl Stars into a model and prints it.
  2. 2Select and generateHe clicks an object in a sample scene, checks the highlight and generates a 3D model.
  3. 3Refine the selectionHe adds the record player’s glass cover after the initial selection captures only the base.

Conclusiones

  1. SAM 3D can generate a 3D object from a selected object in a 2D image.
  2. Selections may need manual correction when an object is only partly highlighted.
  3. Generated models can be sent to 3D-printing software or given visual effects.
  4. The video demonstrates scene objects but does not walk through the separate body-creation feature.
TEXTO COMPLETO

Lee el texto editado por capítulos

Solo la transcripción
01

A 3D-printed character

Berman shows his image-to-print workflow and discloses his partnership with Meta.

Preparing the generated character for printing
DIAPOSITIVA 1 / 3Preparing the generated character for printingThe generated Spike model appears in 3D-printing software.

I took an image of Spike from Brawl Stars, loaded it into Meta’s SAM 3D, converted it to a 3D model and then printed it using my 3D-printing software. The example shows a route from a 2D reference to a physical object, though it is one demonstration rather than a measure of every model’s print readiness.

I describe SAM 3D as an open-source, open-weights model for extracting an object from a 2D image and generating a 3D representation. Meta partnered with me on this video. The interface offers options to create 3D scenes and 3D bodies; here I demonstrate the scene option.

02

Selecting objects and generating models

He turns a speaker and a record player from a sample image into 3D objects, correcting a partial selection.

Using a provided sample image, I click a speaker. The interface highlights the selected object, and I choose Generate 3D to produce a model from it. Clicking an object is the starting point, but the selection still needs to cover the part I actually want.

A partial record-player selection
DIAPOSITIVA 2 / 3A partial record-player selectionThe highlight initially captures the base, motivating the selection adjustment.

I then select a record player. The initial highlight includes only the bottom, so I remove the old selection and add the glass cover to include it in the object. After refining the selection, I generate the 3D model again.

03

Applying effects

He shows several effects that can be applied to a generated object.

Effects menu
DIAPOSITIVA 3 / 3Effects menuThe interface offers 3D, environmental and visual effects for the result.

After generation, I open the effects menu. The available examples include a shimmer, a gold appearance and an explode effect. These are visual treatments applied to the generated object.

Más de este canal

12 diapositivas34:21EN
Matthew Berman· 27 oct 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI SafetyIA empresarial+2
2 diapositivas0:36EN
Matthew Berman· 25 oct 2026Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.EvaluacionesAgentes de programaciónOpen-weight models
6 diapositivas25:50EN
Matthew Berman· 24 oct 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositivas32:20EN
Matthew Berman· 23 oct 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
6 diapositivas1:03:37EN
Matthew Berman· 23 oct 2026Matthew Berman’s Team Tests Kimi K3.1 on Animation, Games, and ChartsMatthew Berman, Alex, Brian · Forward FutureA live team AMA turns into an informal test of Kimi K3.1, from personal-agent workflows to motion graphics, a browser game, and a benchmark chart.Agentes de programaciónGenerative mediaEvaluaciones+2
0:53EN
Matthew Berman· 22 oct 2026Sam Altman on AI and the Discovery of New KnowledgeSam Altman · OpenAIAltman expects progress in mathematical discovery to extend to biology, materials and energy.AI for scienceMathematicsComputational Biology+1