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After Ophelia.

Two video works and a series of seven prints on identity, inherited interpretation, and what remains when everyone tells your story for you.

New in 2026: Ophelia, Reframed, shown at ASIA NOW Paris with Gallery BYGRIDA.

After Ophelia rendered portrait in water

Ophelia has been written, described and painted by others, and her story changes depending on who is telling it, whether that is a person or now a machine.

Overview

When LLM deep research tools started appearing, I used one to look myself up. Some of what came back was outdated. Some was wrong entirely. Those details had been written by others, preserved in places I could not reach or correct. The model cited them as though they were facts. I became what had been said about me.

Ophelia speaks fewer than 60 times in Hamlet, yet essays, paintings, films, criticism, online commentary, and now AI-generated analyses continue to claim they can explain who she really was. John Everett Millais' 1852 painting gave her the face many people still imagine. Academic discourse gave her symbolic weight. YouTube video essays, Reddit threads, search summaries, and pop culture keep extending the cycle.

Archival-style image associated with Ophelia source research
Archive material

A 2025 pop song named after her extends the same pattern into mass culture. Ophelia remains a vessel for other people's meanings, her story endlessly rewritten by whoever holds the microphone, or the algorithm.

Now, when you search for Ophelia, AI systems synthesize all of this into confident summaries, each generation of technology adding another layer between the character and whoever she might have been. After Ophelia traces how a person's image is built, stabilized, and automated by others. When everyone tells your story for you, what remains that is actually yours?

The work does not try to recover a single true Ophelia. Instead, it makes visible the accumulation of image, explanation, repetition, platform, archive, and machine. Each version becomes another layer in a system of representation, making the construction visible rather than pretending it can be cleanly undone.

Works

Ophelia, Reframed

2026, seven prints

In 2026 I went back into the After Ophelia scene I had built in 3D and handed the camera to an AI. I asked it for unsteady, imperfect images and let it decide where to go and how to frame what it found, while I corrected it, rejected 859 of the 866 shots it brought back over nine camera runs, and chose these seven. Nothing in these works is generated. Each one is a render of the world I made, composed by a machine.

All 2026, digital prints of 3D-rendered artworks. Select a work to see it full screen.

  1. Field, 80 x 100 cm, uniqueMoving fast over the lilies, the camera catches her as a blur among the red flowers.
  2. Submersion, 40 x 50 cm, edition of 6 + 2 APThe camera dropped below the surface and looked up at her through the lit water.
  3. Encounter, 40 x 50 cm, edition of 6 + 2 APFocus lands on the red lilies, and she slips past beneath them in a blur of amber light.
  4. Open Water, 40 x 50 cm, edition of 6 + 2 APA wide, tilted view out to the horizon, with her small among the glowing lilies.
  5. Suspension, 40 x 50 cm, edition of 6 + 2 APShe floats face up under an amber sky, with red flowers at the edge of the frame.
  6. Scattered Light, 40 x 50 cm, edition of 6 + 2 APThe camera turned to the night sky, with a band of glowing lilies along the water below.
  7. Afterimage, 40 x 50 cm, edition of 6 + 2 APToo close and still moving, the camera keeps only colour, red flowers and amber light smeared across green water.

Scene built in Blender and rendered in Cycles on a Dell Pro Max Tower T2 with an NVIDIA RTX PRO 6000 Blackwell. Camera positions and framing chosen by an AI agent working inside the scene, with corrections, rejections and the final selection by the artist.

Each print carries the artist's embossed signature stamp and comes with a certificate of authenticity. Available through Gallery BYGRIDA.

How it was made

Ophelia, Reframed returns to the 3D world behind the videos. I asked the AI for unsteady, imperfect images, the kind you get when moving too fast or standing too close, so the blur and misfocus came from my instruction. What the AI decided was where to go and how to frame what it found. Every final image is a clean render of the scene with nothing generated, so the only thing that changed is who held the camera.

Wireframe view of the After Ophelia scene in Blender, seen from above, the figure's head among lily pads and water lilies
Wireframe of the scene in Blender, seen from above
Wireframe view of the full After Ophelia scene in Blender, the figure floating among lily pads and water lilies
Wireframe of the full scene, the figure floating among the lily pads and water lilies
A dark light table filled with dozens of blurred green, cyan and red candidate frames, several outlined in pink
From the light table, Ophelia, Reframed
The experiment, process film, 0:40

Ophelia, Retold and Ophelia, Reassembled

2025, video

Ophelia Retold, still with text overlay 1:17, 32 MB stream

Ophelia, Retold

2025 Single-channel video, 4K, 1:17

Ophelia, Retold turns borrowed language into a spoken system. The rendered figure moves through a space built from descriptions that arrived before her, carrying the feeling of a body narrated from the outside. The work is less an adaptation than a record of how interpretation can become an identity when enough voices repeat it, archive it, and feed it back.

The work asks what happens when description becomes infrastructure. Once a person or character has been summarized enough times, later systems inherit those summaries as if they were stable truth, until the figure is not allowed to exist outside interpretation.

Single-channel video with 3D-rendered visuals and an AI-generated voice made with ElevenLabs, incorporating sourced text from Shakespeare's Hamlet, academic writings, and online commentaries of Ophelia. Single-channel video, 4K (3840 x 2160), 16:9, 1 min 17 sec, MP4.

Available on Objkt through Gallery BYGRIDA.

0:15 loop

Ophelia, Reassembled

2025 Single-channel video collage, 4K, 0:15 loop

Ophelia, Reassembled is built from 3D-rendered imagery, AI image transformations, texture simulations, and visible mesh overlays. The collage holds the figure together while letting the seams stay visible. Its power comes from refusing polish. The artifacts, breaks, and doubled surfaces show a person being assembled from interpretations that never fully agree with one another.

The work asks what is left after enough interpretations have passed through a body. It treats the image as something built from fragments rather than found whole, so the figure never becomes a seamless illusion. It is not restoration; it is assembly with the breaks still present, letting the viewer see both the image and the system that made it.

Single-channel video collage composed of 3D-rendered imagery and AI-generated fragments, layered with digital mesh overlays and simulated textures. Single-channel video, 4K (3840 x 2160), 16:9, 15 sec loop, MP4.

Available on Objkt through Gallery BYGRIDA.

Process

AI plays a different part in each work. In the 2025 videos it voiced the assembled quotes through ElevenLabs and transformed selected renders into new images. In Ophelia, Reframed it chose where the camera went and how each image was framed, and every final print is a clean render of the scene with nothing generated. The room in the Reframed installation study is AI-generated.

Ophelia Retold still at 00:01:01
Ophelia, Retold, 00:01:01
Ophelia Retold still at 00:13:12
Ophelia, Retold, 00:13:12
Ophelia Retold still at 00:27:01
Ophelia, Retold, 00:27:01
Ophelia Retold still at 00:42:17 with text over the image
Ophelia, Retold, 00:42:17

The two video works show how representation becomes a kind of erasure.

I followed how Ophelia has been passed from voice to voice, medium to medium, each time losing a bit more autonomy. Shakespeare's text became Millais' painting. The painting became the default mental image. That image became the basis for countless reinterpretations, academic and casual, each claiming insight into her madness, her victimhood, her symbolic function. Now AI systems scrape all of this and present it as objective knowledge.

In Ophelia, Retold, I gathered these fragments and let an AI voice speak them. The quotes come from their original sources. Some unchanged, others shifted in meaning simply by being placed beside new company, much like Ophelia herself. The 3D-rendered figure searches through space as though looking for herself inside this borrowed language.

Ophelia, Reassembled continues this through image rather than voice. I created initial 3D renders, then transformed them using AI image generation, deliberately leaving the process visible. The meshes, the digital artifacts, the moments where the illusion breaks. These are not flaws but evidence. They show that every image of Ophelia is constructed, that authenticity was never an option.

Together, the works create a loop between being seen and being retold, between image and explanation, never quite resolving into a single stable truth.

Artist statement

After Ophelia installation mockup with large wall presentation
Installation study

This work began with a personal experience of finding my own image misrepresented online, then discovering how quickly those misrepresentations calcify into accepted fact. Ophelia became the perfect historical parallel, a figure defined almost entirely by other people's interpretations, now endlessly recycled by algorithmic systems that treat all sources as equally valid.

The project does not propose to recover the real Ophelia. That person is irretrievable. Instead, it makes visible the mechanisms of her ongoing construction. They are the voices that claim to explain her, the images that claim to show her, the platforms that claim to know her. Ophelia, Reframed moves from the machine explaining her to the machine deciding how she is seen, choosing where to stand and what stays in the frame.

In an age where AI can generate both images and explanations with equal fluency, the line between representation and fabrication has collapsed entirely. We are all, in some sense, becoming Ophelia, written, described and painted by others, with a story that changes depending on who is telling it, whether that is a person or now a machine.

Supporting texts

After Ophelia installation mockup with framed Reassembled work
Installation study

Elaine Showalter - Representing Ophelia: Women, Madness, and the Responsibilities of Feminist Criticism (1985)

The project draws from feminist readings of Ophelia as a figure constructed by spectators, critics, and cultural projection: a character treated as a surface for many perspectives rather than a stable, recoverable self.

John Berger - Ways of Seeing (1972)

Berger's account of looking, appearing, and self-surveillance frames the work's concern with a woman becoming an object of interpretation, especially when visibility is controlled by someone else's gaze. It is most direct in Ophelia, Reframed, where the gaze itself is handed to a machine.

Roland Barthes - The Death of the Author (1967)

Authorship becomes unstable when a figure is remade through fragments, readers, platforms, and automated systems. Meaning gathers at the point of reception rather than returning neatly to one origin.

Walter Benjamin - The Work of Art in the Age of Mechanical Reproduction (1936)

Benjamin's writing on aura and mechanical reproduction helps frame the project's concern with authenticity after repeated copying, reproduction, and technological mediation.

Sources

Ophelia, Retold incorporates sourced text from Shakespeare's Hamlet, academic writing, online commentary, and interpretive videos about Ophelia and Millais' painting.

Ophelia, Retold is made from other people's words on purpose. The work is about how a person becomes the sum of what is said about her, so every quote is used as it was written, credited on screen while it plays, and its source is listed below. Placing them side by side in one voice, each given the same weight, is the artistic act. The Millais painting shown on this page is in the public domain.

Exhibitions

Installation view of the Gallery BYGRIDA booth at ASIA NOW Paris 2026, with Field on the far wall
FACES, Gallery BYGRIDA, ASIA NOW Paris 2026. Courtesy of Gallery BYGRIDA
Field hanging on a white booth wall at ASIA NOW Paris 2026, beside a large sunset work by another artist
Field at FACES, Gallery BYGRIDA, ASIA NOW Paris 2026. Courtesy of Gallery BYGRIDA
Installation study of all seven Ophelia, Reframed prints on one wall of an AI-generated living room, Field to the left of two rows of three
Installation study. The room is AI-generated.
FACES exhibition poster for Gallery BYGRIDA at ASIA NOW 2026, a strip of seven artworks above a list of artists naming Shavonne Wong
FACES, ASIA NOW Paris 2026
SCENES Paris Photo 2025 Digital Sector exhibition poster naming Shavonne Wong
SCENES, Paris Photo 2025
2026
FACES, Gallery BYGRIDA, ASIA NOW Paris, Monnaie de Paris, booth R03, 19 to 24 October 2026. Shown works: Ophelia, Reframed.
2025
SCENES: The Sensory and Constructed Image in the Digital Age, Digital Sector, Paris Photo 2025. November 13-16, 2025, with VIP preview on November 12. Organised by ArtVerse Gallery. Shown works: Ophelia, Retold and Ophelia, Reassembled.

About the artist

Shavonne Wong is a new media artist who treats emerging technology as a mirror, making work about who we become when machines see, listen, and remember for us. She started in fashion and advertising photography, and over time shifted from hyperreal digital images to interactive projects built from AI, 3D rendering, and participatory frameworks.

Wong's work has been presented at ArtScience Museum Singapore, Art SG, Taipei Dangdai, Art Central Hong Kong, and the Venice Biennale. She was recognized in Forbes 30 Under 30 Asia (2020), named Prestige 40 Under 40 (2023) and GRAZIA Game Changer (2024). Collaborations include Vogue Singapore, Bang & Olufsen, Shu Uemura, and Marie Claire. She co-founded NFT Asia and is a member of BLOOM.

Full biography and CV on the About page. Instagram @shavonne.wong, X @shavonnewong_.